Boqing Gong

14.4k total citations · 4 hit papers
64 papers, 5.4k citations indexed

About

Boqing Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Boqing Gong has authored 64 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Boqing Gong's work include Domain Adaptation and Few-Shot Learning (30 papers), Multimodal Machine Learning Applications (23 papers) and Human Pose and Action Recognition (15 papers). Boqing Gong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (30 papers), Multimodal Machine Learning Applications (23 papers) and Human Pose and Action Recognition (15 papers). Boqing Gong collaborates with scholars based in United States, China and Hong Kong. Boqing Gong's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Boqing Gong

64 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Geodesic flow kernel for unsupervised domain adaptation

2012 1.5k citations Boqing Gong, Fei Sha et al. profile →
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

2020 361 citations Philip David, Boqing Gong et al. profile →
Spatiotemporal Contrastive Video Representation Learning

2021 259 citations Rui Qian, Tianjian Meng et al. profile →
Adversarial Examples Improve Image Recognition

2020 247 citations Cihang Xie, Mingxing Tan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Boqing Gong United States	30	3.5k	3.3k	386	344	324	64	5.4k
Guanbin Li China	43	5.5k 1.5×	2.5k 0.7×	355 0.9×	209 0.6×	180 0.6×	192	7.4k
Yuxin Wu China	8	4.1k 1.2×	4.6k 1.4×	582 1.5×	229 0.7×	492 1.5×	20	7.7k
Yanwei Fu China	38	4.8k 1.3×	2.8k 0.9×	693 1.8×	376 1.1×	261 0.8×	164	6.7k
Eric Tzeng United States	11	3.7k 1.0×	3.6k 1.1×	624 1.6×	108 0.3×	315 1.0×	18	6.1k
Judy Hoffman United States	21	4.7k 1.3×	4.4k 1.3×	705 1.8×	128 0.4×	373 1.2×	48	7.4k
Yi-Zhe Song United Kingdom	38	4.3k 1.2×	1.8k 0.6×	170 0.4×	412 1.2×	187 0.6×	164	5.5k
Timothy M. Hospedales United Kingdom	38	5.7k 1.6×	3.5k 1.0×	473 1.2×	288 0.8×	393 1.2×	132	7.9k
Ishan Misra United States	18	3.0k 0.9×	2.2k 0.7×	340 0.9×	248 0.7×	235 0.7×	35	4.7k
Mathieu Salzmann Switzerland	41	4.3k 1.2×	2.0k 0.6×	180 0.5×	599 1.7×	195 0.6×	169	5.8k
Yu-Chiang Frank Wang Taiwan	35	2.8k 0.8×	1.3k 0.4×	218 0.6×	355 1.0×	354 1.1×	153	3.9k

Countries citing papers authored by Boqing Gong

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gong, Boqing, et al.. (2025). Alzheimer’s disease image classification based on enhanced residual attention network. PLoS ONE. 20(1). e0317376–e0317376. 4 indexed citations

Akula, Arjun, Soravit Changpinyo, Boqing Gong, et al.. (2021). CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2148–2166. 13 indexed citations

Akbari, Hassan, Liangzhe Yuan, Rui Qian, et al.. (2021). VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. Neural Information Processing Systems. 34. 1 indexed citations

Qian, Rui, Tianjian Meng, Boqing Gong, et al.. (2021). Spatiotemporal Contrastive Video Representation Learning. 6960–6970. 259 indexed citations breakdown →

Liu, Ziwei, Zhongqi Miao, Xingang Pan, et al.. (2020). Open Compound Domain Adaptation. 12403–12412. 70 indexed citations

Gan, Chuang, Yiwei Zhang, Jiajun Wu, Boqing Gong, & Joshua B. Tenenbaum. (2020). Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. 9701–9707. 64 indexed citations

Xie, Cihang, Mingxing Tan, Boqing Gong, et al.. (2020). Adversarial Examples Improve Image Recognition. 816–825. 247 indexed citations breakdown →

David, Philip, et al.. (2019). A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(8). 1823–1841. 103 indexed citations

Fan, Lijie, Wenbing Huang, Chuang Gan, Junzhou Huang, & Boqing Gong. (2019). Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3510–3517. 22 indexed citations

10.

Yang, Zhengyuan, Boqing Gong, Liwei Wang, et al.. (2019). A Fast and Accurate One-Stage Approach to Visual Grounding. 4682–4692. 243 indexed citations

11.

Fang, Meng, Cheng Zhou, Bei Shi, et al.. (2018). DHER: Hindsight Experience Replay for Dynamic Goals. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33 indexed citations

12.

Zhang, Yang, Hassan Foroosh, Philip David, & Boqing Gong. (2018). CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild.. International Conference on Learning Representations. 40 indexed citations

13.

He, Zhezhi, et al.. (2018). Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. Journal of International Crisis and Risk Communication Research. 4(4). 676–685. 29 indexed citations

14.

Gan, Chuang, et al.. (2018). Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. 5589–5597. 83 indexed citations

15.

Li, Yandong, et al.. (2018). NATTACK: A STRONG AND UNIVERSAL GAUSSIAN BLACK-BOX ADVERSARIAL ATTACK. 1 indexed citations

16.

Chao, Wei‐Lun, Boqing Gong, Kristen Grauman, & Fei Sha. (2015). Large-margin determinantal point processes. Uncertainty in Artificial Intelligence. 191–200. 9 indexed citations

17.

Gong, Boqing, Wei‐Lun Chao, Kristen Grauman, & Fei Sha. (2014). Diverse Sequential Subset Selection for Supervised Video Summarization. Neural Information Processing Systems. 27. 2069–2077. 215 indexed citations

18.

Gong, Boqing, Kristen Grauman, & Fei Sha. (2013). Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. International Conference on Machine Learning. 222–230. 277 indexed citations

19.

Gong, Boqing, Kristen Grauman, & Fei Sha. (2013). Reshaping Visual Datasets for Domain Adaptation. Neural Information Processing Systems. 26. 1286–1294. 79 indexed citations

20.

Gong, Boqing, Yueming Wang, Jianzhuang Liu, & Xiaoou Tang. (2009). Automatic facial expression recognition on a single 3D face by exploring shape deformation. 569–572. 85 indexed citations

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.

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