Jian Peng
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Co-authors
- Jinbo XuJianfeng WangYuanyi ZhongLei ZhangFeng ZhaoXingping SunQingyi ChenHongwei Kang
- Topics
- Protein Structure and Dynamics (4 papers)Enzyme Structure and Function (4 papers)Advanced Neural Network Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jian Peng
25 papers receiving 335 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 119
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 65
- Materials Chemistry 37
- Computational Theory and Mathematics 36
Countries citing papers authored by Jian Peng
This map shows the geographic impact of Jian 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 Jian Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Peng more than expected).
Fields of papers citing papers by Jian Peng
This network shows the impact of papers produced by Jian 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 Jian Peng. The network helps show where Jian Peng may publish in the future.
Co-authorship network of co-authors of Jian Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Peng. A scholar is included among the top collaborators of Jian 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 Jian Peng. Jian 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 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 77 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | Mathematical Modeling of Hollow-Fiber Membrane System in Biological Wastewater Treatment | 2 |
About Jian Peng
Jian Peng is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 34 papers that have together received 347 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Computational Theory and Mathematics (36 citations) and Industrial and Manufacturing Engineering (22 citations). Jian Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinbo Xu, Jianfeng Wang, Yuanyi Zhong, Lei Zhang, Feng Zhao, Xingping Sun, Qingyi Chen, Hongwei Kang, Yong Shen and Yibing Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.