Mingyang Jiang

54 papers receiving 646 citations

Peers

Mingyang Jiang
Comparison fields: 5 of 127
  • Artificial Intelligence 140
  • Information Systems 66
  • Molecular Biology 194
  • Computer Vision and Pattern Recognition 56
  • Cancer Research 36
Replace Zhili Pei with:
Zhili Pei China
Danmin Chen China
Aiping Huang China
Zemin Liu China
Ayesha Maqbool Pakistan
Lei Duan China
Yeon Soo Lee South Korea
Miloš Radović Serbia
Hairong Yu China
Han Guo China
Mingyang Jiang relative to Zhili Pei China Zhili Pei's profile →
Citations per field
00.5×10×14.7×
Zhili Pei · 1×
Citations per year

Countries citing papers authored by Mingyang Jiang

Since Specialization
Citations

This map shows the geographic impact of Mingyang Jiang'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 Mingyang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Jiang more than expected).

Fields of papers citing papers by Mingyang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingyang Jiang. 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 Mingyang Jiang. The network helps show where Mingyang Jiang may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingyang Jiang, 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 Mingyang Jiang Line = papers co-authored together Mingyang Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016208
2 201563
3 201945
4 201933
5 202422
6 201720
7 201718
8 202315
9 202515
10 202313
11 201812
12 201612
13 202510
14 202010
15 202510
16 202510
17 20188
18 20118
19 20257
20 20247

About Mingyang Jiang

Mingyang Jiang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 652 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Advanced Nanomaterials in Catalysis (6 papers), Nanoplatforms for cancer theranostics (6 papers), Advanced Text Analysis Techniques (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Metamaterials and Metasurfaces Applications (3 papers) and Traditional Chinese Medicine Studies (3 papers). The work is most often cited by research in Artificial Intelligence (140 citations), Information Systems (66 citations), Molecular Biology (194 citations), Computer Vision and Pattern Recognition (56 citations) and Cancer Research (36 citations). Mingyang Jiang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhili Pei, Xiaojing Fan, Xiaoyue Feng, Yanchun Liang, Yu Xue, Renchu Guan, Zhongzhou Yang, Jingqing Jiang, Xinyi Huang and Junwei Nie. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Alexandria Engineering Journal, Journal of Biological Chemistry, Advanced Functional Materials and Journal of the American Chemical Society.

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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