Henghui Ding

4.2k total citations · 2 hit papers
78 papers, 2.3k citations indexed

About

Henghui Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Henghui Ding has authored 78 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Henghui Ding's work include Multimodal Machine Learning Applications (32 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Advanced Neural Network Applications (23 papers). Henghui Ding is often cited by papers focused on Multimodal Machine Learning Applications (32 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Advanced Neural Network Applications (23 papers). Henghui Ding collaborates with scholars based in Singapore, China and United States. Henghui Ding's co-authors include Xudong Jiang, Gang Wang, Bing Shuai, A. Q. Liu, Chang Liu, Suchen Wang, Shuting He, Jun Liu, Hui Zhang and Changhu Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Henghui Ding

70 papers receiving 2.3k citations

Hit Papers

Transformer-Based Visual Segmentation: A Survey 2024 2026 2025 2024 2024 25 50 75
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.

  1. Transformer-Based Visual Segmentation: A Survey
    2024 78 citations Xiangtai Li, Henghui Ding et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Towards Open Vocabulary Learning: A Survey
    2024 64 citations Xiangtai Li, Haobo Yuan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henghui Ding Singapore 29 1.8k 922 147 127 109 78 2.3k
Carl Doersch United States 10 1.5k 0.9× 954 1.0× 193 1.3× 142 1.1× 77 0.7× 13 2.2k
Quanfu Fan United States 18 1.3k 0.7× 587 0.6× 251 1.7× 157 1.2× 154 1.4× 48 2.1k
Wei‐Lun Chao United States 22 1.6k 0.9× 611 0.7× 142 1.0× 106 0.8× 57 0.5× 67 2.3k
Takeru Miyato Japan 5 1.5k 0.9× 1.5k 1.6× 155 1.1× 217 1.7× 100 0.9× 8 2.5k
Mircea Cimpoi United Kingdom 5 1.5k 0.8× 776 0.8× 214 1.5× 107 0.8× 53 0.5× 6 2.0k
Rameswar Panda United States 18 1.4k 0.8× 663 0.7× 216 1.5× 177 1.4× 152 1.4× 56 2.1k
Ronghang Hu United States 13 1.5k 0.8× 1.1k 1.2× 106 0.7× 105 0.8× 59 0.5× 17 2.2k
Zihang Jiang China 11 1.2k 0.7× 570 0.6× 263 1.8× 156 1.2× 93 0.9× 23 1.9k
Qianru Sun Singapore 22 1.7k 0.9× 1.6k 1.7× 143 1.0× 193 1.5× 205 1.9× 60 2.6k
Longlong Jing United States 11 824 0.5× 749 0.8× 153 1.0× 212 1.7× 131 1.2× 17 1.6k

Countries citing papers authored by Henghui Ding

Since Specialization
Citations

This map shows the geographic impact of Henghui Ding'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 Henghui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henghui Ding more than expected).

Fields of papers citing papers by Henghui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henghui Ding. 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 Henghui Ding. The network helps show where Henghui Ding may publish in the future.

Co-authorship network of co-authors of Henghui Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Henghui Ding. A scholar is included among the top collaborators of Henghui Ding 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 Henghui Ding. Henghui Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ding, Henghui, et al.. (2026). IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. IEEE Transactions on Image Processing. 35. 717–731.
2.
3.
Ma, Wanjing, Jing Liu, Rui Ding, et al.. (2025). QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. 11448–11460. 1 indexed citations
4.
Liu, Weide, Z. Wu, Henghui Ding, et al.. (2025). Exploiting independent query information for few-shot image segmentation. Displays. 91. 103179–103179.
5.
Li, Xinke, et al.. (2024). PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21340–21348. 1 indexed citations
6.
Li, Xiangtai, Haobo Yuan, Henghui Ding, et al.. (2024). Towards Open Vocabulary Learning: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5092–5113. 64 indexed citations breakdown →
7.
Shen, Hao, et al.. (2024). Spatial-Frequency Adaptive Remote Sensing Image Dehazing With Mixture of Experts. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 8 indexed citations
8.
He, Shuting & Henghui Ding. (2024). RefMask3D: Language-Guided Transformer for 3D Referring Segmentation. 8316–8325.
9.
He, Shuting & Henghui Ding. (2024). Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation. 13332–13341. 10 indexed citations
10.
Yuan, Haobo, Wei Li, Henghui Ding, et al.. (2024). OMG-Seg: Is One Model Good Enough for all Segmentation?. 27948–27959. 35 indexed citations
11.
Liu, Weide, Zhonghua Wu, Yiming Wang, et al.. (2023). LCReg: Long-tailed image classification with Latent Categories based Recognition. Pattern Recognition. 145. 109971–109971. 16 indexed citations
12.
Cong, Yang, et al.. (2023). Gradient-Semantic Compensation for Incremental Semantic Segmentation. IEEE Transactions on Multimedia. 26. 5561–5574. 7 indexed citations
13.
He, Shuting, Xudong Jiang, Wei Jiang, & Henghui Ding. (2023). Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation. IEEE Transactions on Image Processing. 32. 3199–3211. 28 indexed citations
14.
Ding, Henghui, et al.. (2022). A Closer Look at Few-shot Image Generation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9130–9140. 47 indexed citations
15.
Wang, Yiwei, Yujun Cai, Yuxuan Liang, et al.. (2022). Time-Aware Neighbor Sampling on Temporal Graphs. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 1 indexed citations
16.
Hou, Jingwen, Henghui Ding, Weisi Lin, Weide Liu, & Yuming Fang. (2022). Distilling Knowledge From Object Classification to Aesthetics Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 7386–7402. 27 indexed citations
17.
Wang, Yiwei, Yujun Cai, Yuxuan Liang, et al.. (2021). Adaptive Data Augmentation on Temporal Graphs. Neural Information Processing Systems. 34. 14 indexed citations
18.
Tong, Zekun, et al.. (2021). Directed Graph Contrastive Learning. Neural Information Processing Systems. 34. 13 indexed citations
19.
Ding, Henghui, Xudong Jiang, Bing Shuai, A. Q. Liu, & Gang Wang. (2018). Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation. 2393–2402. 267 indexed citations
20.
Shuai, Bing, Henghui Ding, Ting Liu, Gang Wang, & Xudong Jiang. (2018). Toward Achieving Robust Low-Level and High-Level Scene Parsing. IEEE Transactions on Image Processing. 28(3). 1378–1390. 23 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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