Lingdong Kong

1.1k total citations
40 papers, 641 citations indexed

About

Lingdong Kong is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Lingdong Kong has authored 40 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Control and Systems Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Lingdong Kong's work include Advanced Neural Network Applications (7 papers), Robotics and Sensor-Based Localization (6 papers) and Remote Sensing and LiDAR Applications (5 papers). Lingdong Kong is often cited by papers focused on Advanced Neural Network Applications (7 papers), Robotics and Sensor-Based Localization (6 papers) and Remote Sensing and LiDAR Applications (5 papers). Lingdong Kong collaborates with scholars based in China, Singapore and Hong Kong. Lingdong Kong's co-authors include Zhijun Zhang, Lunan Zheng, Ziwei Liu, Youquan Liu, Xinge Zhu, Jiawei Ren, Liang Pan, Yuexin Ma, Yuenan Hou and Bolin Liao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Lingdong Kong

29 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingdong Kong China 11 257 222 177 129 104 40 641
Jianmin Ji China 15 404 1.6× 95 0.4× 210 1.2× 34 0.3× 88 0.8× 70 738
Sen Wang China 15 872 3.4× 335 1.5× 124 0.7× 338 2.6× 37 0.4× 63 1.2k
Ivan Marković Croatia 16 334 1.3× 95 0.4× 181 1.0× 29 0.2× 56 0.5× 61 802
Hakan Temeltaş Türkiye 16 282 1.1× 371 1.7× 89 0.5× 30 0.2× 54 0.5× 101 815
Hang Chu United States 13 388 1.5× 47 0.2× 89 0.5× 190 1.5× 83 0.8× 21 675
Kuan Fang United States 9 493 1.9× 279 1.3× 188 1.1× 27 0.2× 32 0.3× 16 724
Chenyang Zhu China 14 274 1.1× 57 0.3× 77 0.4× 210 1.6× 39 0.4× 41 652
Jen‐Hui Chuang Taiwan 17 807 3.1× 157 0.7× 90 0.5× 112 0.9× 26 0.3× 89 1.1k
Junhao Xiao China 18 519 2.0× 193 0.9× 108 0.6× 60 0.5× 188 1.8× 85 1.1k

Countries citing papers authored by Lingdong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingdong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingdong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingdong Kong. A scholar is included among the top collaborators of Lingdong 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 Lingdong Kong. Lingdong 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.
Yang, Weidong, Lingdong Kong, Youquan Liu, et al.. (2025). Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems. 26(11). 20287–20301. 2 indexed citations
2.
Feng, Wei, et al.. (2025). NUC-Net: Non-Uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9090–9104.
3.
Kong, Lingdong, et al.. (2025). EventFly: Event Camera Perception from Ground to the Sky. ArXiv.org. 1472–1484. 1 indexed citations
4.
Kong, Lingdong, et al.. (2025). FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. IEEE Transactions on Image Processing. 34. 2173–2186. 7 indexed citations
5.
Wang, Song, Xiaolu Liu, Lingdong Kong, et al.. (2025). PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning. 6605–6615.
6.
Kong, Lingdong, et al.. (2025). LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. 27368–27379. 1 indexed citations
7.
Kong, Lingdong, Youquan Liu, Runnan Chen, et al.. (2025). LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1291–1308. 1 indexed citations
8.
Kong, Lingdong, Qiang Wang, Yifan Yang, et al.. (2024). Is Your HD Map Constructor Reliable under Sensor Corruptions?. 22441–22482. 1 indexed citations
9.
Kong, Lingdong, et al.. (2024). OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies. 15686–15698. 5 indexed citations
10.
Kong, Lingdong, Youquan Liu, Xin Li, et al.. (2023). Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. 19937–19949. 47 indexed citations
11.
Liu, Youquan, Xin Li, Lingdong Kong, et al.. (2023). UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. 21605–21616. 30 indexed citations
12.
Zhang, Zhijun, et al.. (2019). A Real-Time Upper-Body Robot Imitation System. 2(1). 49–49. 6 indexed citations
13.
Kong, Lingdong, et al.. (2018). Research on Multi-objective Optimization Dispatching Scheme Based on High-energy Load. 1718–1725. 2 indexed citations
14.
Zhang, Zhijun, et al.. (2018). A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation. IEEE Access. 6. 77940–77952. 36 indexed citations
15.
Kong, Lingdong. (2010). Apple grading detection based on fusion of shape and color features. Computer Engineering and Applications Journal. 1 indexed citations
16.
Kong, Lingdong. (2009). Multi-dimension and Multi-level Association Rule Mining Based on Immune Genetic Algorithm. Jisuanji gongcheng. 1 indexed citations
17.
Kong, Lingdong. (2009). A New Spatial Association Rules Mining Method Based on Immune Algorithms. Wuhan Daxue xuebao. Xinxi kexue ban. 1 indexed citations
18.
19.
Kong, Lingdong. (2007). Simulation Framework for Mobile Ad Hoc Network.
20.
Zhang, Hong, et al.. (2007). Generalized Association Rule Mining Algorithms based on Data Cube. 11. 803–808.

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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