Tao Kong

10.0k total citations · 3 hit papers
62 papers, 3.0k citations indexed

About

Tao Kong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tao Kong has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Tao Kong's work include Advanced Neural Network Applications (13 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Tao Kong is often cited by papers focused on Advanced Neural Network Applications (13 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Tao Kong collaborates with scholars based in China, Hong Kong and Australia. Tao Kong's co-authors include Rufeng Zhang, Fuchun Sun, Anbang Yao, Yurong Chen, Lei Li, Xinlong Wang, Chunhua Shen, Wei Zhan, Zehuan Yuan and Ping Luo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Langmuir and IEEE Transactions on Image Processing.

In The Last Decade

Tao Kong

59 papers receiving 2.9k citations

Hit Papers

Sparse R-CNN: End-to-End Object Detection w... 2016 2026 2019 2022 2021 2016 2021 250 500 750
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. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
    2021 933 citations Peize Sun, Rufeng Zhang et al. profile →
  2. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
    2016 602 citations Tao Kong, Anbang Yao et al. profile →
  3. Dense Contrastive Learning for Self-Supervised Visual Pre-Training
    2021 406 citations Xinlong Wang, Rufeng Zhang et al. profile →

Peers

Tao Kong
Xuguang Lan China
Yanghao Li China
Xinghao Chen China
Xiaoyu Wang China
Zhang Zhang China
Kaiwen Duan China
Zheng Zhu China
Xiaolong Wang China
Xuguang Lan China
Tao Kong
Citations per year, relative to Tao Kong Tao Kong (= 1×) peers Xuguang Lan

Countries citing papers authored by Tao Kong

Since Specialization
Citations

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

Fields of papers citing papers by Tao Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Kong. A scholar is included among the top collaborators of Tao Kong 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 Tao Kong. Tao Kong 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.
2.
3.
Zhang, Han‐Bo, Jiani Zheng, Guoqiang Wei, et al.. (2024). What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?. 7937–7964. 17 indexed citations
4.
Xu, Jie, et al.. (2024). Towards Unified Interactive Visual Grounding in The Wild. 3288–3295. 2 indexed citations
5.
Wang, Feng, Tao Kong, Rufeng Zhang, Huaping Liu, & Hang Li. (2023). Self-Supervised Learning by Estimating Twin Class Distribution. IEEE Transactions on Image Processing. 32. 2228–2236. 16 indexed citations
6.
Sun, Peize, Rufeng Zhang, Yi Jiang, et al.. (2023). Sparse R-CNN: An End-to-End Framework for Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15650–15664. 53 indexed citations
7.
Zheng, Duo, Tao Kong, Ya Jing, Jiaan Wang, & Xiaojie Wang. (2022). Towards Unifying Reference Expression Generation and Comprehension. 6598–6611. 3 indexed citations
8.
Zhang, Rufeng, et al.. (2022). 3D Part Assembly Generation With Instance Encoded Transformer. IEEE Robotics and Automation Letters. 7(4). 9051–9058. 12 indexed citations
9.
Chen, Yukang, Peizhen Zhang, Tao Kong, et al.. (2022). Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2367–2383. 19 indexed citations
10.
Chu, Ruihang, Yukang Chen, Tao Kong, Lu Qi, & Lei Li. (2021). ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation. IEEE Robotics and Automation Letters. 7(1). 57–64. 20 indexed citations
11.
Sun, Peize, Rufeng Zhang, Yi Jiang, et al.. (2021). Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. 14449–14458. 933 indexed citations breakdown →
12.
Wang, Xinlong, Rufeng Zhang, Tao Kong, Lei Li, & Chunhua Shen. (2020). SOLOv2: Dynamic and Fast Instance Segmentation. Neural Information Processing Systems. 33. 17721–17732. 25 indexed citations
13.
Wang, Xinlong, Rufeng Zhang, Tao Kong, Lei Li, & Chunhua Shen. (2020). SOLOv2: Dynamic, Faster and Stronger.. arXiv (Cornell University). 56 indexed citations
14.
Xiao, Xia, et al.. (2019). Influence factors of film adhesion criterion of the nondestructive CZM-SAW technique. Japanese Journal of Applied Physics. 58(SH). SHHG03–SHHG03. 1 indexed citations
15.
Guo, Di, Tao Kong, Fuchun Sun, & Huaping Liu. (2016). Object discovery and grasp detection with a shared convolutional neural network. 2038–2043. 53 indexed citations
16.
Kong, Tao, Anbang Yao, Yurong Chen, & Fuchun Sun. (2016). HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection. 845–853. 602 indexed citations breakdown →
17.
Lin, Jing, Tao Kong, Lin Ye, Aiying Zhang, & Zeng‐guo Feng. (2015). Self-assemblies of γ-CDs with pentablock copolymers PMA-PPO-PEO-PPO-PMA and endcapping via atom transfer radical polymerization of 2-methacryloyloxyethyl phosphorylcholine. Beilstein Journal of Organic Chemistry. 11. 2267–2277. 8 indexed citations
18.
Tang, Keshuang, et al.. (2014). Multiobjective Group-Based Signal Optimization Model for Mixed Traffic Flows at Isolated Intersections. Transportation Research Board 93rd Annual MeetingTransportation Research Board.
19.
Kong, Tao, Lin Ye, Aiying Zhang, & Zeng‐guo Feng. (2014). Loose-fit polypseudorotaxanes constructed from γ-CDs and PHEMA-PPG-PEG-PPG-PHEMA. Beilstein Journal of Organic Chemistry. 10. 2461–2469. 12 indexed citations
20.
Chen, Xi, Dongmei Liu, Jisheng Zhang, et al.. (2011). Research on information overload of variable message signs in Beijing. 191–194. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xuguang Lan Breakdown of academic impact, for papers by Yanghao Li Breakdown of academic impact, for papers by Xinghao Chen Breakdown of academic impact, for papers by Xiaoyu Wang Breakdown of academic impact, for papers by Zhang Zhang Breakdown of academic impact, for papers by Kaiwen Duan Breakdown of academic impact, for papers by Zheng Zhu Breakdown of academic impact, for papers by Xiaolong Wang
Rankless by CCL
2026