Jinglu Hu
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Kotaro HirasawaJunichi MurataYu LuZhou JinSandor MarkonToru EGUCHIShingo MabuTakashi Yamashita
- Topics
- Neural Networks and Applications (15 papers)Evolutionary Algorithms and Applications (12 papers)Metaheuristic Optimization Algorithms Research (12 papers)
- Cited by
- Artificial IntelligenceControl and Systems EngineeringManagement Science and Operations Research
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)Anaesthesia and Intensive CareIET Computer Vision
- Partner nations
- JapanChinaUnited States
In The Last Decade
Jinglu Hu
49 papers receiving 385 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 276
- Control and Systems Engineering 148
- Management Science and Operations Research 63
- Information Systems 50
- Computational Theory and Mathematics 42
Countries citing papers authored by Jinglu Hu
This map shows the geographic impact of Jinglu Hu'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 Jinglu Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinglu Hu more than expected).
Fields of papers citing papers by Jinglu Hu
This network shows the impact of papers produced by Jinglu Hu. 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 Jinglu Hu. The network helps show where Jinglu Hu may publish in the future.
Co-authorship network of co-authors of Jinglu Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Jinglu Hu. A scholar is included among the top collaborators of Jinglu Hu 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 Jinglu Hu. Jinglu Hu 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 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 30 | |
| 20 | 37 |
About Jinglu Hu
Jinglu Hu is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering, having authored 52 papers that have together received 427 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Evolutionary Algorithms and Applications (12 papers) and Metaheuristic Optimization Algorithms Research (12 papers). The work is most often cited by research in Artificial Intelligence (276 citations), Control and Systems Engineering (148 citations) and Management Science and Operations Research (63 citations). Jinglu Hu has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kotaro Hirasawa, Junichi Murata, Yu Lu, Zhou Jin, Sandor Markon, Toru EGUCHI, Shingo Mabu, Takashi Yamashita, M. Ohbayashi and Shinji Sakai. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Anaesthesia and Intensive Care and IET Computer Vision.
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.