Guodong Wang

506 citations
37 papers · 361 · h-index 9

Impact in

Papers in

Guodong Wang

31 papers receiving 350 citations

Peers

Guodong Wang
Comparison fields: 5 of 78
  • Industrial and Manufacturing Engineering 49
  • Control and Systems Engineering 98
  • Artificial Intelligence 109
  • Statistical and Nonlinear Physics 31
  • Automotive Engineering 28
Replace T. Ganesan with:
T. Ganesan Malaysia
Zhenhua Huang China
Yanjun Xiao China
Gastón Lefranc Chile
Apurva Narayan Canada
Nastaran Mehrabi Hashjin Iran
Mohammad Hussein Amiri Iran
Mohsen Montazeri Iran
Ke Zhu China
Guodong Wang relative to T. Ganesan Malaysia T. Ganesan's profile →
Citations per field
00.5×6.2×
T. Ganesan · 1×
Citations per year

Countries citing papers authored by Guodong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guodong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 202161
3 201946
4 202135
5 202113
6 201711
7 202210
8 202010
9 20178
10 20177
11 20217
12 20245
13 20095
14 20204
15 20224
16 20214
17 20244
18 20224
19 20203
20 20163

About Guodong Wang

Guodong Wang is a scholar working on Artificial Intelligence, Control and Systems Engineering, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 37 papers that have together received 361 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Advanced Statistical Process Monitoring (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Neural Networks and Applications (3 papers), Topic Modeling (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Memory and Neural Computing (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (49 citations), Control and Systems Engineering (98 citations), Artificial Intelligence (109 citations), Statistical and Nonlinear Physics (31 citations) and Automotive Engineering (28 citations). Guodong Wang has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Xiaobin Xu, Radu Grosu, Leilei Chang, Xiaojian Xu, Xinping Yan, Jianbo Yang, Chen Zhang, Yu Xie, Bin Yu and Ramin Hasani. Their work appears in journals such as Journal of Process Control, Applied Soft Computing, Knowledge-Based Systems, Journal of Intelligent & Fuzzy Systems and IEEE Transactions on Intelligent Transportation Systems.

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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