Cheng Jin
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Advanced Image and Video Retrieval Techniques 22
- Image Retrieval and Classification Techniques 21
- Video Analysis and Summarization 8
- Multimodal Machine Learning Applications 8
- Visual Attention and Saliency Detection 7
- Advanced Image Processing Techniques 7
Cheng Jin
103 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 163
- Pharmacology 225
- Toxicology 67
- Electronic, Optical and Magnetic Materials 339
- Complementary and alternative medicine 143
- Analytical Chemistry 125
Countries citing papers authored by Cheng Jin
This map shows the geographic impact of Cheng Jin'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 Cheng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Jin more than expected).
Fields of papers citing papers by Cheng Jin
This network shows the impact of papers produced by Cheng Jin. 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 Cheng Jin. The network helps show where Cheng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 35 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 47 | |
| 9 | 2023 | 30 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 2 | |
| 16 | Salient Region Detection with Convex Hull Overlap. | 2016 | 2 |
| 17 | 2011 | 1 | |
| 18 | 2011 | 1 | |
| 19 | Fusion of Multiple Features and Ranking SVM for Web-based English-Chinese OOV Term Translation | 2010 | 1 |
| 20 | 2005 | 1 |
About Cheng Jin
Cheng Jin is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Pharmacology, Computer Graphics and Computer-Aided Design and Complementary and alternative medicine, having authored 118 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Image Retrieval and Classification Techniques (21 papers), Phytochemistry and biological activity of medicinal plants (9 papers), Video Analysis and Summarization (8 papers), Multimodal Machine Learning Applications (8 papers), Visual Attention and Saliency Detection (7 papers), Pharmacological Effects of Natural Compounds (7 papers) and Advanced Image Processing Techniques (7 papers). The work is most often cited by research in Pharmacology (225 citations), Toxicology (67 citations), Electronic, Optical and Magnetic Materials (339 citations), Complementary and alternative medicine (143 citations) and Analytical Chemistry (125 citations). Cheng Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junjie Xu, Renchao Che, Ji‐Wei Liu, Zhengwang Liu, Mengmei Liu, Jiabo Wang, Yanling Zhao, Weijun Kong, Haiping Zhao and Xiaohe Xiao. Their work appears in journals such as Journal of Ethnopharmacology, Colloid & Polymer Science, Journal of Pharmaceutical and Biomedical Analysis, Journal of Separation Science and ACS Applied Materials & Interfaces.
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.