Jing Peng
- Biomedical Engineering
- Molecular Biology
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Leiqing PanKang TuSita AwasthiHarvey M. FriedmanJinzhao SongMichael G. MaukChangchun LiuHaim H. Bau
- Topics
- Spectroscopy and Chemometric Analyses (11 papers)Biomedical Text Mining and Ontologies (10 papers)Topic Modeling (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsCoordination Chemistry Reviews
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Peng
66 papers receiving 668 citations
Peers
Comparison fields: 5 of 120
- Biomedical Engineering 203
- Molecular Biology 154
- Analytical Chemistry 139
- Computer Vision and Pattern Recognition 89
- Artificial Intelligence 89
Countries citing papers authored by Jing Peng
This map shows the geographic impact of Jing Peng'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 Jing Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Peng more than expected).
Fields of papers citing papers by Jing Peng
This network shows the impact of papers produced by Jing Peng. 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 Jing Peng. The network helps show where Jing Peng may publish in the future.
Co-authorship network of co-authors of Jing Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Peng. A scholar is included among the top collaborators of Jing Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Peng. Jing Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | Observation on diversity of color characters of taro germplasm resource. | 1 |
| 17 | 2 | |
| 18 | Deduplication-oriented backup-data encryption method | 0 |
| 19 | Zero-Anaphora Resolution in Chinese Using Maximum Entropy(Natural Language Processing) | 1 |
| 20 | Numerical Simulation of Width Sensitivity in a Torque Converter | 1 |
About Jing Peng
Jing Peng is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Media Technology, having authored 77 papers that have together received 698 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Topic Modeling (8 papers). The work is most often cited by research in Analytical Chemistry (139 citations), Biophysics (42 citations) and Media Technology (60 citations). Jing Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Leiqing Pan, Kang Tu, Sita Awasthi, Harvey M. Friedman, Jinzhao Song, Michael G. Mauk, Changchun Liu, Haim H. Bau, Ke Sun and Fang Miao. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Coordination Chemistry Reviews.
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.