Chonghao Sima
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
Papers in
-
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Video Surveillance and Tracking Methods 1
- Advanced Vision and Imaging 1
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Hongyang Li (3 shared papers)Lewei Lu (2 shared papers)Li Chen (2 shared papers)Jifeng Dai (2 shared papers)Yu Qiao (2 shared papers)Yihan Hu (1 shared paper)Qiang Liu (1 shared paper)Xiaosong Jia (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)The HKU Scholars Hub (University of Hong Kong) (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Chonghao Sima
4 papers receiving 417 citations
Chonghao Sima's Hit Papers
Peers
Comparison fields: 5 of 56
- Automotive Engineering 170
- Computer Vision and Pattern Recognition 232
- Computer Graphics and Computer-Aided Design 15
- Artificial Intelligence 98
- Building and Construction 41
Countries citing papers authored by Chonghao Sima
This map shows the geographic impact of Chonghao Sima'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 Chonghao Sima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chonghao Sima more than expected).
Fields of papers citing papers by Chonghao Sima
This network shows the impact of papers produced by Chonghao Sima. 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 Chonghao Sima. The network helps show where Chonghao Sima may publish in the future.
Co-authors
The 25 scholars most cited alongside Chonghao Sima, 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 | Planning-oriented Autonomous Driving Hit paper breakdown → | 2023 | 349 |
| 2 | 2023 | 47 | |
| 3 | 2024 | 25 | |
| 4 | 2023 | 7 | |
| 5 | LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning | 2021 | 0 |
About Chonghao Sima
Chonghao Sima is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Aerospace Engineering and Environmental Engineering, having authored 5 papers that have together received 428 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Reinforcement Learning in Robotics (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Automotive Engineering (170 citations), Computer Vision and Pattern Recognition (232 citations), Computer Graphics and Computer-Aided Design (15 citations), Artificial Intelligence (98 citations) and Building and Construction (41 citations). Chonghao Sima has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Hongyang Li, Lewei Lu, Li Chen, Jifeng Dai, Yu Qiao, Yihan Hu, Qiang Liu, Xiaosong Jia, Tianwei Lin and Xizhou Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The HKU Scholars Hub (University of Hong Kong) and Neural Information Processing 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.