Jun Zhang

86.1k citations
2.7k papers · 56.5k indexed · 22 hit papers · h-index 103

Jun Zhang

2.5k papers receiving 54.8k citations

Hit Papers

The l...892003202620102018100200300400500

Peers

Jun Zhang
Comparison fields: 5 of 240
  • Computational Theory and Mathematics 10.0k
  • Artificial Intelligence 17.8k
  • Industrial and Manufacturing Engineering 3.2k
  • Computer Vision and Pattern Recognition 4.0k
  • Computer Networks and Communications 4.4k
Replace Amir H. Gandomi with:
Amir H. Gandomi Australia
David E. Goldberg United States
Sakshi Agarwal India
David Silver United States
Demis Hassabis United Kingdom
Amrit Pratap United States
R.C. Eberhart United States
Marco Dorigo Belgium
Xin Yao China
Ponnuthurai Nagaratnam Suganthan Singapore
Jun Zhang relative to Amir H. Gandomi Australia Amir H. Gandomi's profile →
Citations per field
00.5×1.5×1.9×
Amir H. Gandomi · 1×
Citations per year

Countries citing papers authored by Jun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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10 202417
11 20246
12 202326
13 20232
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17 20231
18 202319
19 20134
20 20114

About Jun Zhang

Jun Zhang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 2.7k papers that have together received 56.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (461 papers), Evolutionary Algorithms and Applications (309 papers), Advanced Multi-Objective Optimization Algorithms (293 papers), Vehicle Routing Optimization Methods (75 papers), Complex Network Analysis Techniques (55 papers), Robotic Path Planning Algorithms (51 papers), Neural Networks and Applications (48 papers) and Optical Coherence Tomography Applications (47 papers). The work is most often cited by research in Computational Theory and Mathematics (10.0k citations), Artificial Intelligence (17.8k citations) and Industrial and Manufacturing Engineering (3.2k citations). Jun Zhang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Zhi‐Hui Zhan, Yun Li, Wei–Neng Chen, Henry Shu-Hung Chung, Yue‐Jiao Gong, Yuhui Shi, Sam Kwong, Bing Xue, Ying Lin and Tianlong Gu. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.

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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