Guodong Wang
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 10%
- Information Systems
- Co-authors
- Radu GrosuXiaobin XuXinping YanLeilei ChangJianbo YangXiaojian XuChen ZhangBin Yu
- Topics
- Fault Detection and Control Systems (7 papers)Advanced Statistical Process Monitoring (4 papers)Topic Modeling (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringArtificial Intelligence
- Journals
- FuelSensorsPattern Recognition
- Partner nations
- ChinaAustriaUnited Kingdom
In The Last Decade
Guodong Wang
31 papers receiving 335 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 107
- Control and Systems Engineering 94
- Mechanical Engineering 57
- Industrial and Manufacturing Engineering 48
- Information Systems 36
Countries citing papers authored by Guodong Wang
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
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-authorship network of co-authors of Guodong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guodong Wang. A scholar is included among the top collaborators of Guodong Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guodong Wang. Guodong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 95 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Mechanical Property Prediction for Hot Rolled SPA-H Steel Using Bayesian Neural Network | 2 |
| 19 | 2 | |
| 20 | 3 |
About Guodong Wang
Guodong Wang is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Control and Systems Engineering, having authored 35 papers that have together received 346 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Advanced Statistical Process Monitoring (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (48 citations), Control and Systems Engineering (94 citations) and Artificial Intelligence (107 citations). Guodong Wang has collaborated with scholars based in China, Austria and United Kingdom. Frequent co-authors include Radu Grosu, Xiaobin Xu, Xinping Yan, Leilei Chang, Jianbo Yang, Xiaojian Xu, Chen Zhang, Bin Yu, Yu Xie and Ramin Hasani. Their work appears in journals such as Fuel, Sensors and Pattern Recognition.
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.