Deying Kong

543 total citations
12 papers, 201 citations indexed

About

Deying Kong is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Deying Kong has authored 12 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Human-Computer Interaction and 2 papers in Artificial Intelligence. Recurrent topics in Deying Kong's work include Human Pose and Action Recognition (5 papers), Medical Image Segmentation Techniques (4 papers) and Hand Gesture Recognition Systems (4 papers). Deying Kong is often cited by papers focused on Human Pose and Action Recognition (5 papers), Medical Image Segmentation Techniques (4 papers) and Hand Gesture Recognition Systems (4 papers). Deying Kong collaborates with scholars based in United States and China. Deying Kong's co-authors include Xiaohui Xie, Xiangyi Yan, Shanlin Sun, Hao Tang, Haoyu Ma, Haoyu Ma, Daiming Qu, Wei Fan, Kai Luo and Tao Jiang and has published in prestigious journals such as IEEE Transactions on Wireless Communications, Medical Image Analysis and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Deying Kong

12 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deying Kong United States 7 132 65 47 36 31 12 201
Xiangyi Yan United States 6 177 1.3× 100 1.5× 77 1.6× 23 0.6× 40 1.3× 12 250
Aamir Wali Pakistan 8 70 0.5× 79 1.2× 32 0.7× 30 0.8× 31 1.0× 34 211
Mingqi Gao China 11 232 1.8× 64 1.0× 48 1.0× 8 0.2× 18 0.6× 22 296
Tanvir Fatima Naik Bukht Pakistan 7 103 0.8× 84 1.3× 71 1.5× 8 0.2× 35 1.1× 15 228
Jinzhuo Wang China 11 174 1.3× 85 1.3× 27 0.6× 7 0.2× 51 1.6× 34 299
Xinpeng Ding China 10 218 1.7× 90 1.4× 23 0.5× 17 0.5× 49 1.6× 19 331
Zhengyang Shen China 10 163 1.2× 46 0.7× 56 1.2× 19 0.5× 47 1.5× 21 262
Tarun Agrawal India 9 67 0.5× 80 1.2× 119 2.5× 12 0.3× 27 0.9× 26 257
Naveen Paluru India 4 52 0.4× 65 1.0× 100 2.1× 21 0.6× 18 0.6× 8 181
Zilong Huang China 6 128 1.0× 37 0.6× 7 0.1× 14 0.4× 22 0.7× 14 229

Countries citing papers authored by Deying Kong

Since Specialization
Citations

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

Fields of papers citing papers by Deying Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deying Kong

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

All Works

12 of 12 papers shown
1.
Wu, Xinyu, et al.. (2025). A Smart Workflow for Performing the Electrochemical Evaluation of Fuel Cell Catalysts in a Precise Way with Ultra-High Reproducibility. ACS electrochemistry.. 1(10). 2190–2197. 1 indexed citations
2.
Sun, Shanlin, Kun Han, Chenyu You, et al.. (2024). Medical image registration via neural fields. Medical Image Analysis. 97. 103249–103249. 5 indexed citations
3.
4.
Han, Kun, Shanlin Sun, Xiangyi Yan, et al.. (2023). Diffeomorphic Image Registration with Neural Velocity Field. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1869–1879. 10 indexed citations
5.
Yan, Xiangyi, Shanlin Sun, Kun Han, et al.. (2023). Representation Recovering for Self-Supervised Pre-training on Medical Images. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2684–2694. 6 indexed citations
6.
Yan, Xiangyi, Hao Tang, Shanlin Sun, et al.. (2022). AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3270–3280. 100 indexed citations
7.
Sun, Shanlin, Kun Yeun Han, Deying Kong, et al.. (2022). Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20813–20823. 18 indexed citations
8.
Ma, Haoyu, Liangjian Chen, Deying Kong, et al.. (2021). TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation. 2 indexed citations
9.
Kong, Deying, et al.. (2020). Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation. 1535–1544. 9 indexed citations
10.
Ma, Haoyu, et al.. (2020). Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation. 370–379. 26 indexed citations
11.
Kong, Deying, Yifei Chen, Haoyu Ma, Xiangyi Yan, & Xiaohui Xie. (2019). Adaptive Graphical Model Network for 2D Handpose Estimation.. British Machine Vision Conference. 83. 3 indexed citations
12.
Kong, Deying, Daiming Qu, Kai Luo, & Tao Jiang. (2015). Channel Estimation Under Staggered Frame Structure for Massive MIMO System. IEEE Transactions on Wireless Communications. 15(2). 1469–1479. 16 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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