Boqing Gong
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computational Mechanics top 5%
- Signal Processing top 2%
- Co-authors
- Fei ShaKristen GraumanYuan ShiChuang GanXiangyu YuePhilip DavidHassan ForooshMing–Hsuan Yang
- Topics
- Domain Adaptation and Few-Shot Learning (30 papers)Multimodal Machine Learning Applications (23 papers)Human Pose and Action Recognition (15 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer Vision
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Boqing Gong
64 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 3.5k
- Artificial Intelligence 3.3k
- Radiology, Nuclear Medicine and Imaging 386
- Computational Mechanics 344
- Signal Processing 324
Countries citing papers authored by Boqing Gong
This map shows the geographic impact of Boqing Gong'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 Boqing Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boqing Gong more than expected).
Fields of papers citing papers by Boqing Gong
This network shows the impact of papers produced by Boqing Gong. 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 Boqing Gong. The network helps show where Boqing Gong may publish in the future.
Co-authorship network of co-authors of Boqing Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Boqing Gong. A scholar is included among the top collaborators of Boqing Gong 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 Boqing Gong. Boqing Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 13 | |
| 5 | VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text | 1 |
| 6 | Spatiotemporal Contrastive Video Representation Learningbreakdown → | 259 |
| 7 | 70 | |
| 8 | 64 | |
| 9 | Adversarial Examples Improve Image Recognitionbreakdown → | 247 |
| 10 | 103 | |
| 11 | 29 | |
| 12 | DHER: Hindsight Experience Replay for Dynamic Goals | 33 |
| 13 | CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. | 40 |
| 14 | 83 | |
| 15 | Large-margin determinantal point processes | 9 |
| 16 | Diverse Sequential Subset Selection for Supervised Video Summarization | 215 |
| 17 | 77 | |
| 18 | Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation | 277 |
| 19 | Reshaping Visual Datasets for Domain Adaptation | 79 |
| 20 | 85 |
About Boqing Gong
Boqing Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Dentistry, having authored 64 papers that have together received 5.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (30 papers), Multimodal Machine Learning Applications (23 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Artificial Intelligence (3.3k citations) and Geology (169 citations). Boqing Gong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Fei Sha, Kristen Grauman, Yuan Shi, Chuang Gan, Xiangyu Yue, Philip David, Hassan Foroosh, Ming–Hsuan Yang, Wenbing Huang and Mingxing Tan. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of 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.