Jun Geng

34 papers receiving 498 citations

Peers

Jun Geng
Comparison fields: 5 of 74
  • Statistics, Probability and Uncertainty 57
  • Renewable Energy, Sustainability and the Environment 117
  • Statistics and Probability 42
  • Materials Chemistry 199
  • Electronic, Optical and Magnetic Materials 65
Replace Yazhen Wang with:
Yazhen Wang China
Haiqing Li China
M. Ross Kunz United States
Kewang Zhang China
W. Herrmann Germany
Yuying Li China
Marwan Amin Kutbi Saudi Arabia
Dominic F. Vecchia United States
Lei Yu China
Jun Geng relative to Yazhen Wang China Yazhen Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Geng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005192
2 200735
3 201535
4 201235
5 201327
6 202225
7 202217
8 202317
9 201414
10 202313
11 201713
12 201312
13 20199
14 20167
15 20166
16 20156
17 20185
18 20164
19 20134
20 20234

About Jun Geng

Jun Geng is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 44 papers that have together received 508 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Direction-of-Arrival Estimation Techniques (6 papers), Radar Systems and Signal Processing (6 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Statistical Methods and Inference (5 papers), Healthcare Operations and Scheduling Optimization (5 papers), Advanced SAR Imaging Techniques (4 papers) and Advanced Algebra and Logic (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (57 citations), Renewable Energy, Sustainability and the Environment (117 citations), Statistics and Probability (42 citations), Materials Chemistry (199 citations) and Electronic, Optical and Magnetic Materials (65 citations). Jun Geng has collaborated with scholars based in China and United States. Frequent co-authors include Lifeng Lai, Wenhua Hou, Jun‐Jie Zhu, Hong‐Yuan Chen, Bingwen Zhang, Liping Jiang, Junhao Xie, Weiyu Xu, Haoran Li and Erhan Bayraktar. Their work appears in journals such as IEEE Transactions on Signal Processing, Fuzzy Sets and Systems, Digital Signal Processing, IET Radar Sonar & Navigation and Frontiers in Earth Science.

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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