Lingjiang Kong

11.1k total citations
551 papers, 8.5k citations indexed

About

Lingjiang Kong is a scholar working on Aerospace Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Lingjiang Kong has authored 551 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 354 papers in Aerospace Engineering, 154 papers in Artificial Intelligence and 134 papers in Biomedical Engineering. Recurrent topics in Lingjiang Kong's work include Radar Systems and Signal Processing (263 papers), Advanced SAR Imaging Techniques (211 papers) and Target Tracking and Data Fusion in Sensor Networks (143 papers). Lingjiang Kong is often cited by papers focused on Radar Systems and Signal Processing (263 papers), Advanced SAR Imaging Techniques (211 papers) and Target Tracking and Data Fusion in Sensor Networks (143 papers). Lingjiang Kong collaborates with scholars based in China, United States and Australia. Lingjiang Kong's co-authors include Guolong Cui, Wei Yi, Xianxiang Yu, Xiaobo Yang, Jianyu Yang, Xiaolong Li, Tianxian Zhang, T. Kirubarajan, Reza Hoseinnezhad and Shisheng Guo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Lingjiang Kong

520 papers receiving 8.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingjiang Kong China 47 6.0k 2.3k 1.7k 1.6k 1.1k 551 8.5k
Alfonso Farina Italy 54 8.6k 1.4× 3.9k 1.7× 1.0k 0.6× 1.6k 1.0× 2.1k 2.0× 496 11.8k
Hugh Griffiths United Kingdom 42 7.2k 1.2× 943 0.4× 1.6k 0.9× 2.2k 1.4× 677 0.6× 243 8.6k
Wei Yi China 42 3.7k 0.6× 2.4k 1.1× 808 0.5× 910 0.6× 1.1k 1.0× 414 5.8k
Abdelhak M. Zoubir Germany 42 1.8k 0.3× 1.2k 0.5× 1.3k 0.7× 1.6k 1.0× 847 0.8× 509 6.5k
Antonio De Maio Italy 62 9.8k 1.6× 1.5k 0.6× 1.5k 0.8× 1.7k 1.0× 1.3k 1.2× 355 11.3k
Guolong Cui China 43 6.0k 1.0× 914 0.4× 1.8k 1.1× 1.7k 1.0× 434 0.4× 497 7.5k
Fulvio Gini Italy 41 5.4k 0.9× 1.4k 0.6× 659 0.4× 1.1k 0.7× 1.0k 1.0× 330 7.1k
Zheng Bao China 58 9.7k 1.6× 1.1k 0.5× 3.6k 2.1× 1.1k 0.7× 310 0.3× 495 11.3k
Braham Himed United States 46 5.6k 0.9× 852 0.4× 1.1k 0.7× 1.4k 0.9× 699 0.7× 304 6.7k
Hing Cheung So Hong Kong 57 5.0k 0.8× 1.6k 0.7× 766 0.4× 5.0k 3.1× 1.5k 1.4× 507 12.2k

Countries citing papers authored by Lingjiang Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingjiang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingjiang Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingjiang Kong. A scholar is included among the top collaborators of Lingjiang 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 Lingjiang Kong. Lingjiang 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, Hua, Ding Zhou, Lingjiang Kong, et al.. (2025). Dual-hole extraction strategy promotes photoelectrochemical water splitting of bismuth vanadate photoanode. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 77. 236–249. 1 indexed citations
2.
Kong, Lingjiang, Ding Zhou, Hua Yang, et al.. (2025). Dual‐Site Engineering Promotes Oxygen Evolution Reaction of Acidic Water Electrolysis over RuO 2. Small. 21(35). e2505346–e2505346. 1 indexed citations
3.
Xiong, Kui, et al.. (2025). Multitarget Pursuit Coalition Game of Radar-Enabled UAVs. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 13605–13621. 1 indexed citations
4.
Guo, Shisheng, et al.. (2025). Non-Line-of-Sight Target Localization Method Based on Array Rotation in L-Shaped Scenario. IEEE Transactions on Instrumentation and Measurement. 1–1.
5.
Chen, Jiahui, et al.. (2025). Target-to-Target Interaction Ghost Suppression Algorithm Based on Joint DoD and DoA Estimation. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.
6.
Liu, Xin‐Yuan, et al.. (2024). RM-CSTV: An effective high-resolution method of non-line-of-sight millimeter-wave radar 3-D imaging. SHILAP Revista de lepidopterología. 3(5). 20230085–20230085.
7.
Xiong, Kui, et al.. (2024). Transmit–Receive Assignment and Path Planning of Multistatic Radar-Enabled UAVs for Target Tracking in Stand-Forward Jamming. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 5702–5714. 10 indexed citations
8.
Yi, Wei, et al.. (2024). Joint Detection and Localization of Multiple Moving Targets in a Distributed Radar System. IEEE Sensors Journal. 24(17). 27914–27925. 1 indexed citations
9.
Yuan, Ye, et al.. (2024). Reinforcement-Learning-Enhanced Adaption of Signal Power and Modulation for LPI Radar System. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 8555–8568. 2 indexed citations
10.
Zhang, Da‐Lin, Wei Yi, & Lingjiang Kong. (2021). Optimal Joint Allocation of Multijammer Resources for Jamming Netted Radar System. SHILAP Revista de lepidopterología. 5 indexed citations
11.
Cui, Guolong, et al.. (2021). Wideband Beampattern Synthesis Using Single Digital Beamformer With Integer Time Delay Filters. IEEE Transactions on Antennas and Propagation. 70(5). 3437–3449. 8 indexed citations
12.
Zhang, Wei, et al.. (2021). Transmit-Receive Beamforming for Distributed Phased-MIMO Radar System. IEEE Transactions on Vehicular Technology. 71(2). 1439–1453. 27 indexed citations
13.
Wang, Jinghe, et al.. (2019). Multi-frame Track Before Detect Method for the Netted Radar System. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Cui, Guolong, et al.. (2019). Coherent Radar Detection Framework With Non-Uniform Pulse Repetition Intervals. IEEE Access. 8. 18645–18657. 10 indexed citations
15.
Wang, Ziqin, Tianxian Zhang, Yichuan Yang, et al.. (2018). Antenna deployment method for multistatic radar in dynamic environment. 513–518. 1 indexed citations
16.
Li, Wen, et al.. (2018). A Distributed Asynchronous Recursive Filtering Fusion Algorithm via DP-TBD. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Li, Suqi, Wei Yi, Reza Hoseinnezhad, Bailu Wang, & Lingjiang Kong. (2017). Multiobject Tracking for Generic Observation Model Using Labeled Random Finite Sets. IEEE Transactions on Signal Processing. 66(2). 368–383. 46 indexed citations
18.
Yi, Wei, et al.. (2016). Adaptive Vo-Vo filter for maneuvering targets with time-varying dynamics. RMIT Research Repository (RMIT University Library). 3 indexed citations
19.
Kong, Lingjiang, Na Li, Guolong Cui, Haining Yang, & Qing Liu. (2016). Adaptive Bayesian detection for multiple‐input multiple‐output radar in compound‐Gaussian clutter with random texture. IET Radar Sonar & Navigation. 10(4). 689–698. 16 indexed citations
20.
Lin, Peng, et al.. (2004). A study on multi-speed cellular automata model of traffic flow of main-road with two-lane under the traffic light control. Acta Physica Sinica. 53(9). 2899–2899. 6 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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