Yan Wang
Impact in
- Inorganic Chemistry top 2%
- Metal-Organic Frameworks: Synthesis and Applications
- Spectroscopy top 2%
- Molecular Sensors and Ion Detection
Papers in
-
- Cancer-related molecular mechanisms research 21
- Co-authors
- Ying‐Wei Yang (22 shared papers)Dihua Dai (5 shared papers)Jie Yang (3 shared papers)Chunyu Wang (10 shared papers)Jia‐Rui Wu (7 shared papers)Lan Huang (44 shared papers)Zheng Li (2 shared papers)Dailan He (3 shared papers)
- Journals
- Briefings in Bioinformatics (8 papers)Molecules (6 papers)CrystEngComm (6 papers)Nucleic Acids Research (5 papers)Genes (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Wang
259 papers receiving 5.1k citations
Yan Wang's Hit Papers
Peers
Comparison fields: 5 of 192
- Inorganic Chemistry 543
- Spectroscopy 584
- Materials Chemistry 1.5k
- Biomaterials 366
- Computer Vision and Pattern Recognition 586
Countries citing papers authored by Yan Wang
This map shows the geographic impact of Yan 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 Yan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wang more than expected).
Fields of papers citing papers by Yan Wang
This network shows the impact of papers produced by Yan 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 Yan Wang. The network helps show where Yan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 285 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Supramolecular Assembly-Induced Emission Enhancement for Efficient Mercury(II) Detection and Removal Hit paper breakdown → | 2019 | 367 |
| 2 | Checkerboard Context Model for Efficient Learned Image Compression Hit paper breakdown → | 2021 | 236 |
| 3 | 2020 | 211 | |
| 4 | 2019 | 172 | |
| 5 | 2009 | 149 | |
| 6 | 2018 | 117 | |
| 7 | 2013 | 108 | |
| 8 | 2015 | 86 | |
| 9 | 2009 | 77 | |
| 10 | 2018 | 73 | |
| 11 | 2019 | 69 | |
| 12 | 2021 | 62 | |
| 13 | 2020 | 61 | |
| 14 | 2005 | 61 | |
| 15 | 2017 | 60 | |
| 16 | 2016 | 59 | |
| 17 | 2021 | 58 | |
| 18 | 2018 | 55 | |
| 19 | 2021 | 53 | |
| 20 | 2010 | 53 |
About Yan Wang
Yan Wang is a scholar working on Computer Vision and Pattern Recognition, Cancer Research, Molecular Biology, Spectroscopy and Inorganic Chemistry, having authored 285 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (27 papers), Machine Learning in Bioinformatics (21 papers), Cancer-related molecular mechanisms research (21 papers), Luminescence and Fluorescent Materials (20 papers), Metal-Organic Frameworks: Synthesis and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Gene expression and cancer classification (17 papers) and Polyoxometalates: Synthesis and Applications (16 papers). The work is most often cited by research in Inorganic Chemistry (543 citations), Spectroscopy (584 citations), Materials Chemistry (1.5k citations), Biomaterials (366 citations) and Computer Vision and Pattern Recognition (586 citations). Yan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ying‐Wei Yang, Dihua Dai, Jie Yang, Chunyu Wang, Jia‐Rui Wu, Lan Huang, Zheng Li, Dailan He, Hongwei Qin and Dongmei Zhang. Their work appears in journals such as Briefings in Bioinformatics, Molecules, CrystEngComm, Nucleic Acids Research and Genes.
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.