Chao Hu
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
-
- Remote-Sensing Image Classification 1
-
- Advanced Battery Technologies Research 1
- Co-authors
- Liang Ma (1 shared paper)Fangjuan Cheng (1 shared paper)Shuang Luo (1 shared paper)Huifang Li (1 shared paper)Chang Wen Chen (1 shared paper)Heyuan Shi (2 shared papers)Yu‐Lin Yang (1 shared paper)Ronghua Shi (1 shared paper)
- Journals
- Neurocomputing (2 papers)Journal of Energy Storage (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)SID Symposium Digest of Technical Papers (1 paper)
In The Last Decade
Chao Hu
4 papers receiving 324 citations
Chao Hu's Hit Papers
Peers
Comparison fields: 5 of 38
- Automotive Engineering 229
- Media Technology 30
- Electrical and Electronic Engineering 181
- Control and Systems Engineering 62
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Chao Hu
This map shows the geographic impact of Chao 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 Chao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Hu more than expected).
Fields of papers citing papers by Chao Hu
This network shows the impact of papers produced by Chao 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 Chao Hu. The network helps show where Chao Hu may publish in the future.
Co-authors
The 11 scholars most cited alongside Chao Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 244 | |
| 2 | Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images Hit paper breakdown → | 2024 | 85 |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2026 | 0 |
About Chao Hu
Chao Hu is a scholar working on Media Technology, Automotive Engineering, Computational Mechanics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 5 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Network Security and Intrusion Detection (1 paper), Plant Surface Properties and Treatments (1 paper), Anomaly Detection Techniques and Applications (1 paper), Advancements in Battery Materials (1 paper), Remote-Sensing Image Classification (1 paper), Fluid Dynamics and Heat Transfer (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Automotive Engineering (229 citations), Media Technology (30 citations), Electrical and Electronic Engineering (181 citations), Control and Systems Engineering (62 citations) and Computer Vision and Pattern Recognition (45 citations). Chao Hu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Liang Ma, Fangjuan Cheng, Shuang Luo, Huifang Li, Chang Wen Chen, Heyuan Shi, Yu‐Lin Yang, Ronghua Shi, Jiankui Chen and Liming Liu. Their work appears in journals such as Neurocomputing, Journal of Energy Storage, IEEE Transactions on Neural Networks and Learning Systems and SID Symposium Digest of Technical Papers.
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.