Jun Zeng

498 citations
51 papers · 346 · h-index 10

Impact in

Papers in

Jun Zeng

45 papers receiving 342 citations

Peers

Jun Zeng
Comparison fields: 5 of 100
  • Civil and Structural Engineering 52
  • Environmental Engineering 31
  • Analytical Chemistry 20
  • Artificial Intelligence 66
  • Complementary and alternative medicine 12
Replace Željko Vujović with:
Željko Vujović Germany
Martin Pawelczyk Germany
M. Hamed Mozaffari Canada
Yashuang Mu China
Víctor Henrique Alves Ribeiro Brazil
Carlos de Oliveira Affonso Brazil
Ch. Sanjeev Kumar Dash South Korea
Jun Zeng relative to Željko Vujović Germany Željko Vujović's profile →
Citations per field
00.5×10×14×
Željko Vujović · 1×
Citations per year

Countries citing papers authored by Jun Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 202040
3 201735
4 202219
5 201918
6 201915
7 202413
8 201813
9 202312
10 202012
11 20179
12 20198
13 20237
14 20207
15 20217
16 20226
17 20146
18 20196
19 20206
20 20245

About Jun Zeng

Jun Zeng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology and Civil and Structural Engineering, having authored 51 papers that have together received 346 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (6 papers), Face and Expression Recognition (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Wireless Signal Modulation Classification (4 papers), Asphalt Pavement Performance Evaluation (4 papers), Analytical Chemistry and Chromatography (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Civil and Structural Engineering (52 citations), Environmental Engineering (31 citations), Analytical Chemistry (20 citations), Artificial Intelligence (66 citations) and Complementary and alternative medicine (12 citations). Jun Zeng has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Min He, Guan Gui, Jinlong Sun, Haris Gacanin, Bamidele Adebisi, Hikmet Sari, Tomoaki Ohtsuki, Yi‐Feng Chen, Hongtao Shi and Zhibing Yang. Their work appears in journals such as IEEE Access, Microchemical Journal, Construction and Building Materials, Journal of Rock Mechanics and Geotechnical Engineering and Neurological Sciences.

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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