Jian Peng

850 citations
36 papers · 426 · h-index 9

Impact in

Papers in

Jian Peng

29 papers receiving 412 citations

Peers

Jian Peng
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 133
  • Artificial Intelligence 92
  • Industrial and Manufacturing Engineering 26
  • Media Technology 20
  • Computational Theory and Mathematics 38
Replace Karolj Skala with:
Karolj Skala Croatia
Zhengxin Li China
Shuo Liu China
Qin Wu China
Markus Hofmarcher Austria
Sung-Wook Park South Korea
Miao Sun China
Hanqun Cao Hong Kong
Andrej Dobnikar Slovenia
Jian Peng relative to Karolj Skala Croatia Karolj Skala's profile →
Citations per field
00.5×2×4×6×7×
Karolj Skala · 1×
Citations per year

Countries citing papers authored by Jian Peng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201183
2 202076
3 202153
4 202038
5 202029
6 201823
7 201023
8 200215
9 201015
10 20219
11 20098
12 20227
13 20067
14 20066
15 20214
16 20244
17 19914
18 20043
19 20203
20
Mathematical Modeling of Hollow-Fiber Membrane System in Biological Wastewater Treatment
20062

About Jian Peng

Jian Peng is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 36 papers that have together received 426 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Protein Structure and Dynamics (5 papers), Metaheuristic Optimization Algorithms Research (4 papers), Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robot Manipulation and Learning (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Artificial Intelligence (92 citations), Industrial and Manufacturing Engineering (26 citations), Media Technology (20 citations) and Computational Theory and Mathematics (38 citations). Jian Peng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinbo Xu, Jianfeng Wang, Yuanyi Zhong, Lei Zhang, Hongwei Kang, Yong Shen, Xingping Sun, Qingyi Chen, Feng Zhao and Lei Zhang. Their work appears in journals such as PLoS ONE, Journal of Computational Biology, Mathematical Biosciences & Engineering, Applied Sciences and Bioinformatics.

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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