WU Tie-jun

1.3k citations
121 papers · 993 · h-index 16

Impact in

Papers in

WU Tie-jun

105 papers receiving 956 citations

Peers

WU Tie-jun
Comparison fields: 5 of 100
  • Control and Systems Engineering 484
  • Statistical and Nonlinear Physics 149
  • Mechanical Engineering 192
  • Computer Vision and Pattern Recognition 101
  • Industrial and Manufacturing Engineering 49
Replace Alexander Scheidler with:
Alexander Scheidler Germany
Jian Huang China
Alexandra-Iulia Szedlak-Stinean Romania
Liu - United States
Xuejun Zhang China
Chuanhou Gao China
Adi Soeprijanto Indonesia
Ameer Tamoor Khan Hong Kong
Elena‐Lorena Hedrea Romania
WU Tie-jun relative to Alexander Scheidler Germany Alexander Scheidler's profile →
Citations per field
00.5×2.9×
Alexander Scheidler · 1×
Citations per year

Countries citing papers authored by WU Tie-jun

Since Specialization
Citations

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

Fields of papers citing papers by WU Tie-jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WU Tie-jun. 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 WU Tie-jun. The network helps show where WU Tie-jun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005174
2 200793
3 200548
4
Support vector machines for pattern recognition
200343
5 201038
6 200629
7 202127
8 200627
9 200626
10 200926
11 200923
12 200622
13 200620
14 200317
15 200816
16
Optimal coordinated voltage control of power systems - an immune algorithm solution
200415
17 201315
18 201015
19 202215
20 200914

About WU Tie-jun

WU Tie-jun is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Industrial and Manufacturing Engineering, having authored 121 papers that have together received 993 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (11 papers), Iterative Learning Control Systems (11 papers), Industrial Technology and Control Systems (9 papers), Advanced Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Advanced Control Systems Optimization (7 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Control and Systems Engineering (484 citations), Statistical and Nonlinear Physics (149 citations), Mechanical Engineering (192 citations), Computer Vision and Pattern Recognition (101 citations) and Industrial and Manufacturing Engineering (49 citations). WU Tie-jun has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jia Shi, Furong Gao, Qi Xuan, Yanjun Li, Fang Du, Qi Xuan, Yanjun Li, Weiqiang Xu, Dongliang Peng and David J. Hill. Their work appears in journals such as Journal of Zhejiang University. Science A, Physica A Statistical Mechanics and its Applications, Industrial & Engineering Chemistry Research, Journal of Process Control and Journal of Physics A Mathematical and Theoretical.

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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