Jin Zhang

2.3k citations
157 papers · 1.5k · 1 hit paper · h-index 19

Impact in

Papers in

Jin Zhang

135 papers receiving 1.4k citations

Jin Zhang's Hit Papers

A robotic sensory system with high spatiotemporal resolution for texture recognition 2023 · 150 citations
1500+1+2Years since publication50100150

Peers

Jin Zhang
Comparison fields: 5 of 151
  • Numerical Analysis 244
  • Computational Theory and Mathematics 265
  • Computer Networks and Communications 215
  • Aerospace Engineering 198
  • Computational Mechanics 153
Replace Sanghyuk Lee with:
Sanghyuk Lee South Korea
Richard A. Waltz United States
Ka Fai Cedric Yiu Hong Kong
Debao Chen China
Sibylle D. Müller Switzerland
C.D. Perttunen United States
B.E. Stuckman United States
Douglass J. Wilde United States
Lihong Guo China
Jin Zhang relative to Sanghyuk Lee South Korea Sanghyuk Lee's profile →
Citations per field
00.5×3.3×
Sanghyuk Lee · 1×
Citations per year

Countries citing papers authored by Jin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013194
2
A robotic sensory system with high spatiotemporal resolution for texture recognition
Hit paper breakdown →
2023150
3 201667
4 201353
5 201540
6 201038
7 200937
8 201326
9 201426
10 202225
11 201324
12 201724
13 201624
14 201623
15 202022
16 201322
17 202221
18 201119
19 201619
20 202418

About Jin Zhang

Jin Zhang is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Control and Systems Engineering and Artificial Intelligence, having authored 157 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (27 papers), Optimization and Variational Analysis (23 papers), Sparse and Compressive Sensing Techniques (15 papers), Differential Equations and Numerical Methods (14 papers), Optimization and Mathematical Programming (12 papers), Risk and Portfolio Optimization (11 papers), Stochastic Gradient Optimization Techniques (9 papers) and Advanced Mathematical Modeling in Engineering (9 papers). The work is most often cited by research in Numerical Analysis (244 citations), Computational Theory and Mathematics (265 citations), Computer Networks and Communications (215 citations), Aerospace Engineering (198 citations) and Computational Mechanics (153 citations). Jin Zhang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Jane J. Ye, Dejun Yang, Guoliang Xue, Andréa W. Richa, Xi Fang, Ya-Zhong Luo, Guo-Jin Tang, Xiaoming Yuan, Xiaowei Liu and Gui-Hua Lin. Their work appears in journals such as Journal of Optimization Theory and Applications, SIAM Journal on Optimization, Mathematical Programming, Applied Mathematics and Computation and Applied Mathematics Letters.

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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