Peng Ji

1.5k citations
139 papers · 806 · h-index 15

Impact in

Papers in

Peng Ji

112 papers receiving 765 citations

Peers

Peng Ji
Comparison fields: 5 of 128
  • Human-Computer Interaction 63
  • Computer Vision and Pattern Recognition 159
  • Computer Networks and Communications 125
  • Experimental and Cognitive Psychology 57
  • Cognitive Neuroscience 79
Replace Taesup Moon with:
Taesup Moon South Korea
Diego H. Peluffo-Ordóńez Ecuador
Jingwei Too Malaysia
Stefano Ferrari Italy
Junqi Guo China
Peter Sinčák Slovakia
Zheng Guan China
Ata Jahangir Moshayedi China
Dongil Shin South Korea
Xianlun Tang China
Peng Ji relative to Taesup Moon South Korea Taesup Moon's profile →
Citations per field
00.5×3.5×
Taesup Moon · 1×
Citations per year

Countries citing papers authored by Peng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 201758
3 202157
4 202235
5 202235
6 202033
7 202225
8 202325
9 202223
10 202219
11 201619
12 202119
13 202215
14 201714
15 201714
16 202013
17 201113
18 200813
19 202212
20 201012

About Peng Ji

Peng Ji is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 139 papers that have together received 806 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (24 papers), Security in Wireless Sensor Networks (15 papers), Indoor and Outdoor Localization Technologies (14 papers), Mobile Ad Hoc Networks (13 papers), Adaptive Control of Nonlinear Systems (10 papers), Robotic Path Planning Algorithms (7 papers), Industrial Technology and Control Systems (6 papers) and Hand Gesture Recognition Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (63 citations), Computer Vision and Pattern Recognition (159 citations), Computer Networks and Communications (125 citations), Experimental and Cognitive Psychology (57 citations) and Cognitive Neuroscience (79 citations). Peng Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chengdong Wu, Fengying Ma, Zhongjun Xiao, Jianning Chi, Hao Chu, Yunzhou Zhang, Xiaosheng Yu, Aiguo Song, Huan Wang and Chenglong Li. Their work appears in journals such as IEEE Access, Sensors, Neurocomputing, Frontiers in Plant Science and International Journal of Bio-Inspired Computation.

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.

Explore authors with similar magnitude of impact