Run‐Ling Wang

2.3k citations

80 papers · 1.9k · 1 hit paper · h-index 21

Impact in

Computer Vision and Pattern Recognition top 2%
- Video Surveillance and Tracking Methods
Computational Theory and Mathematics top 2%
- Computational Drug Discovery Methods

Papers in

Molecular Biology 45
- Protein Tyrosine Phosphatases 33
- Peroxisome Proliferator-Activated Receptors 7
- Protein Structure and Dynamics 3
Computational Theory and Mathematics 14
- Computational Drug Discovery Methods 14

Co-authors: Ying Ma (38 shared papers)Weiren Xu (21 shared papers)Shuqing Wang (13 shared papers)Kuo‐Chen Chou (2 shared papers)Xian‐Chao Cheng (17 shared papers)Weiya Li (20 shared papers)Peng Yu (6 shared papers)Hua Sun (6 shared papers)
Journals: Journal of Biomolecular Structure and Dynamics (14 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Oncotarget (5 papers)Journal of Molecular Graphics and Modelling (3 papers)European Journal of Medicinal Chemistry (3 papers)
Partner nations: China United States France

In The Last Decade

Run‐Ling Wang

79 papers receiving 1.8k citations

Run‐Ling Wang's Hit Papers

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The Sixth Visual Object Tracking VOT2018 Challenge Results 2019 · 523 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2019 Lecture notes in computer science

Peers

Countries citing papers authored by Run‐Ling Wang

Since Specialization

Citations

This map shows the geographic impact of Run‐Ling Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Run‐Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run‐Ling Wang more than expected).

Fields of papers citing papers by Run‐Ling Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Run‐Ling Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Run‐Ling Wang. The network helps show where Run‐Ling Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Run‐Ling Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Run‐Ling Wang Line = papers co-authored together Run‐Ling Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	The Sixth Visual Object Tracking VOT2018 Challenge Results Lecture notes in computer science ·Matej Kristan, Aleš Leonardis, Jiřı́ Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Čehovin Zajc, Tomáš Vojíř, Goutam Bhat Hit paper breakdown →	2019	523
2	Natural Prenylchalconaringenins and Prenylnaringenins as Antidiabetic Agents: α-Glucosidase and α-Amylase Inhibition and in Vivo Antihyperglycemic and Antihyperlipidemic Effects Journal of Agricultural and Food Chemistry ·Hua Sun, Dong Wang, Xiaotong Song, Yazhou Zhang, Weina Ding, Xiaolin Peng, Xiaoting Zhang, Yashan Li	2017	111
3	Design Novel Dual Agonists for Treating Type-2 Diabetes by Targeting Peroxisome Proliferator-Activated Receptors with Core Hopping Approach PLoS ONE ·Ying Ma, Shuqing Wang, Weiren Xu, Run‐Ling Wang, Kuo‐Chen Chou	2012	101
4	Novel Inhibitor Design for Hemagglutinin against H1N1 Influenza Virus by Core Hopping Method PLoS ONE ·Shuqing Wang, Weiren Xu, Run‐Ling Wang, Kuo‐Chen Chou +1 other	2011	100
5	Synthesis, α-glucosidase inhibitory and molecular docking studies of prenylated and geranylated flavones, isoflavones and chalcones Bioorganic & Medicinal Chemistry Letters ·Hua Sun, Yashan Li, Xiaoting Zhang, Yanan Lei, Weina Ding, Xue Zhao, Haomeng Wang, Xiaotong Song	2015	54
6	Synthesis of 6-hydroxyaurone analogues and evaluation of their α-glucosidase inhibitory and glucose consumption-promoting activity: Development of highly active 5,6-disubstituted derivatives Bioorganic & Medicinal Chemistry Letters ·Hua Sun, Weina Ding, Xiaotong Song, Dong Wang, Mingzhu Chen, Kaili Wang, Yazhou Zhang, Peng Yuan	2017	50
7	Discovery of novel small molecule inhibitors of lysine methyltransferase G9a and their mechanism in leukemia cell lines European Journal of Medicinal Chemistry ·Shukkoor Muhammed Kondengaden, Liufei Luo, Kenneth Huang, Mengyuan Zhu, Lanlan Zang, Eudoxie Bataba, Run‐Ling Wang, Cheng Luo	2016	41
8	Inhibitory activity evaluation and mechanistic studies of tetracyclic oxindole derivatives as α-glucosidase inhibitors European Journal of Medicinal Chemistry ·Hua Sun, Yazhou Zhang, Weina Ding, Xue Zhao, Xiaotong Song, Dong Wang, Yashan Li, Kailin Han	2016	38
9	The Discovery of a Novel and Selective Inhibitor of PTP 1B Over TCPTP : 3D QSAR Pharmacophore Modeling, Virtual Screening, Synthesis, and Biological Evaluation Chemical Biology & Drug Design ·Ying Ma, Yuanyuan Jin, Ye‐Liu Wang, Run‐Ling Wang, Xinhua Lu, Dexin Kong, Weiren Xu	2014	33
10	Three new powerful oseltamivir derivatives for inhibiting the neuraminidase of influenza virus Biochemical and Biophysical Research Communications ·Shuqing Wang, Xian‐Chao Cheng, Wei‐Li Dong, Run‐Ling Wang, Kuo‐Chen Chou	2010	30
11	Synthesis, biological evaluation and 3D-QSAR studies of 1,2,4-triazole-5-substituted carboxylic acid bioisosteres as uric acid transporter 1 (URAT1) inhibitors for the treatment of hyperuricemia associated with gout Bioorganic & Medicinal Chemistry Letters ·Jingwei Wu, Ling Yin, Yuqiang Liu, Huan Zhang, Yafei Xie, Run‐Ling Wang, Guilong Zhao	2018	30
12	Multitargeted bioactive ligands for PPAR s discovered in the last decade Chemical Biology & Drug Design ·Jun Zhang, Xin Liu, Xie Xian-bin, Xian‐Chao Cheng, Run‐Ling Wang	2016	28
13	Synthesis, biological evaluation and 3D-QSAR studies of imidazolidine-2,4-dione derivatives as novel protein tyrosine phosphatase 1B inhibitors European Journal of Medicinal Chemistry ·Meiyan Wang, Yuanyuan Jin, Hui‐Yu Wei, Lisong Zhang, Su‐Xia Sun, Wei‐Li Dong, Weiren Xu, Xian‐Chao Cheng	2015	27
14	Docking and Molecular Dynamics Simulations of Peroxisome Proliferator Activated Receptors Interacting with Pan Agonist Sodelglitazar Protein and Peptide Letters ·Xuyuan Liu, Run‐Ling Wang, Weiren Xu, Tang Li-da, Shuqing Wang, Kuo‐Chen Chou	2011	25
15	Scaffold-based novel SHP2 allosteric inhibitors design using Receptor-Ligand pharmacophore model, virtual screening and molecular dynamics Computational Biology and Chemistry ·Wen-Yan Jin, Ying Ma, Weiya Li, Honglian Li, Run‐Ling Wang	2018	24
16	SAHA-based novel HDAC inhibitor design by core hopping method Journal of Molecular Graphics and Modelling ·Lanlan Zang, Xuejiao Wang, Xiaobo Li, Shuqing Wang, Weiren Xu, Xie Xian-bin, Xian‐Chao Cheng, Huan Ma	2014	22
17	Channel Pruning for Visual Tracking Lecture notes in computer science ·Manqiang Che, Run‐Ling Wang, Yan Lu, Yan Li, Changzhen Xiong +1 other	2019	22
18	The design of novel inhibitors for treating cancer by targeting CDC25B through disruption of CDC25B-CDK2/Cyclin A interaction using computational approaches Oncotarget ·Honglian Li, Ying Ma, Yu Li, Xiu‐Bo Chen, Wei‐Li Dong, Run‐Ling Wang	2017	21
19	Exploring the effect of D61G mutation on SHP2 cause gain of function activity by a molecular dynamics study Journal of Biomolecular Structure and Dynamics ·Honglian Li, Ying Ma, Chang-Jie Zheng, Wen-Yan Jin, Wen‐Shan Liu, Run‐Ling Wang	2017	21
20	3D QSAR Pharmacophore Based Virtual Screening for Identification of Potential Inhibitors for CDC25B Computational Biology and Chemistry ·Ying Ma, Honglian Li, Xiu‐Bo Chen, Wen-Yan Jin, Hui Zhou, Run‐Ling Wang	2018	21

About Run‐Ling Wang

Run‐Ling Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Inorganic Chemistry, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (33 papers), Computational Drug Discovery Methods (14 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Crystal structures of chemical compounds (6 papers), Natural Antidiabetic Agents Studies (6 papers), Synthesis and biological activity (6 papers), Protein Structure and Dynamics (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (516 citations), Computational Theory and Mathematics (288 citations), Endocrinology, Diabetes and Metabolism (197 citations), Molecular Biology (530 citations) and Organic Chemistry (253 citations). Run‐Ling Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Ying Ma, Weiren Xu, Shuqing Wang, Kuo‐Chen Chou, Xian‐Chao Cheng, Weiya Li, Peng Yu, Hua Sun, Xiaotong Song and Wei‐Li Dong. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioorganic & Medicinal Chemistry Letters, Oncotarget, Journal of Molecular Graphics and Modelling and European Journal of Medicinal Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Run‐Ling Wang

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In The Last Decade

Run‐Ling Wang

Run‐Ling Wang's Hit Papers

Peers

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Fields of papers citing papers by Run‐Ling Wang

All Works

About Run‐Ling Wang

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