Zhunga Liu

4.2k total citations
124 papers, 3.0k citations indexed

About

Zhunga Liu is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhunga Liu has authored 124 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 32 papers in Aerospace Engineering and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhunga Liu's work include Rough Sets and Fuzzy Logic (19 papers), Remote-Sensing Image Classification (19 papers) and Target Tracking and Data Fusion in Sensor Networks (16 papers). Zhunga Liu is often cited by papers focused on Rough Sets and Fuzzy Logic (19 papers), Remote-Sensing Image Classification (19 papers) and Target Tracking and Data Fusion in Sensor Networks (16 papers). Zhunga Liu collaborates with scholars based in China, France and Hong Kong. Zhunga Liu's co-authors include Quan Pan, Jean Dezert, Grégoire Mercier, Arnaud Martin, You He, Zuowei Zhang, Kuang Zhou, Yu Liu, Fabio Cuzzolin and Zaidao Wen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Zhunga Liu

109 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhunga Liu China 31 1.7k 719 558 530 473 124 3.0k
Jean Dezert France 31 1.9k 1.1× 1.1k 1.5× 723 1.3× 569 1.1× 189 0.4× 151 3.2k
Timothy C. Havens United States 24 1.3k 0.8× 328 0.5× 168 0.3× 611 1.2× 234 0.5× 150 2.5k
Jian Yu China 28 761 0.4× 353 0.5× 633 1.1× 917 1.7× 285 0.6× 181 3.4k
Jiulun Fan China 22 747 0.4× 329 0.5× 193 0.3× 882 1.7× 373 0.8× 174 1.8k
Richard J. Hathaway United States 30 2.8k 1.7× 299 0.4× 453 0.8× 1.4k 2.6× 337 0.7× 61 4.2k
Raghu Krishnapuram United States 32 3.9k 2.3× 540 0.8× 707 1.3× 2.7k 5.1× 830 1.8× 117 6.6k
Changjing Shang United Kingdom 26 889 0.5× 162 0.2× 307 0.6× 492 0.9× 179 0.4× 162 2.2k
Shiji Song China 29 1.3k 0.7× 190 0.3× 292 0.5× 1.4k 2.6× 284 0.6× 111 4.4k
Derek T. Anderson United States 22 861 0.5× 401 0.6× 137 0.2× 747 1.4× 226 0.5× 170 2.0k
C.A. Murthy India 25 1.6k 0.9× 144 0.2× 263 0.5× 1.4k 2.6× 384 0.8× 104 3.1k

Countries citing papers authored by Zhunga Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhunga Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhunga Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhunga Liu. A scholar is included among the top collaborators of Zhunga Liu 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 Zhunga Liu. Zhunga Liu 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.
Liu, Zhunga, et al.. (2025). Scattering-guided class-irrelevant filtering for adversarially robust SAR automatic target recognition. Signal Processing. 239. 110273–110273.
2.
Liu, Zhunga, et al.. (2025). A Unified SAM-Guided Self-Prompt Learning Framework for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 2 indexed citations
3.
Liu, Zhunga, et al.. (2025). Reason and Discovery: A New Paradigm for Open Set Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5586–5599. 5 indexed citations
4.
Gao, Bingbing, Pengfei Ma, Gaoge Hu, Yongmin Zhong, & Zhunga Liu. (2025). Dual-event-triggering ANFIS-based unscented Kalman filter for cluster cooperative navigation with measurement anomalies. Chinese Journal of Aeronautics. 103968–103968.
5.
Liu, Zhunga, et al.. (2025). Adaptive Mixture-of-Experts Distillation for Cross-Satellite Generalizable Incremental Remote Sensing Scene Classification. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 233–247. 2 indexed citations
6.
Jiao, Lianmeng, et al.. (2024). Deep evidential clustering based on feature representation learning and belief function theory. Pattern Recognition. 161. 111261–111261.
7.
Zhang, Zuowei, et al.. (2024). A survey of evidential clustering: Definitions, methods, and applications. Information Fusion. 115. 102736–102736. 8 indexed citations
8.
Zhang, Zuowei, et al.. (2024). Class Activation Maps-based Feature Augmentation for long-tailed classification. Expert Systems with Applications. 249. 123588–123588. 7 indexed citations
9.
Liu, Zhunga, et al.. (2024). DFEN: A Dual-Feature Extraction Network-Based Open-Set Domain Adaptation Method for Optical Remote Sensing Image Scene Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(3). 2462–2473.
10.
Zhang, Zuowei, et al.. (2024). Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices. IEEE Transactions on Systems Man and Cybernetics Systems. 54(8). 4772–4785. 4 indexed citations
11.
Liu, Zhunga, et al.. (2024). Multimodal Absolute Visual Localization for Unmanned Aerial Vehicles. IEEE Transactions on Vehicular Technology. 73(11). 16402–16415. 1 indexed citations
12.
Zhang, Pu, et al.. (2024). Preference-based experience sharing scheme for multi-agent reinforcement learning in multi-target environments. Evolving Systems. 15(5). 1681–1699. 1 indexed citations
13.
Liu, Meiqin, et al.. (2024). Learning-Based Maximum Likelihood Estimator for Angle-of-Arrival Localization. IEEE Transactions on Signal Processing. 72. 5388–5405. 1 indexed citations
14.
Lyu, Yongxi, et al.. (2024). Thrust vector V/STOL aircraft control based on angular acceleration estimation. Aerospace Science and Technology. 149. 109132–109132. 3 indexed citations
15.
Liu, Zhunga, et al.. (2024). Transferable Adversarial Attacks for Remote Sensing Object Recognition via Spatial- Frequency Co-Transformation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 18 indexed citations
16.
Liu, Zhunga, et al.. (2024). Toward Efficient Detection and Tracking for Tiny Airborne Object. IEEE Transactions on Aerospace and Electronic Systems. 61(2). 4891–4906.
17.
Liu, Zhunga, et al.. (2024). Class-Incremental Recognition of Objects in Remote Sensing Images With Dynamic Hybrid Exemplar Selection. IEEE Transactions on Aerospace and Electronic Systems. 60(3). 3468–3481. 10 indexed citations
18.
Yang, Yanbo, et al.. (2023). Novel pseudo-linear Kalman filtering for 3D angle-only tracking in the presence of observer’s location errors. Automatica. 155. 111114–111114. 3 indexed citations
19.
Liu, Zhunga, et al.. (2023). Progressive Learning Vision Transformer for Open Set Recognition of Fine-Grained Objects in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 20 indexed citations
20.
Liu, Zhunga, et al.. (2020). Research and Development on Applications of Convolutional Neural Networks of Radar Automatic Target Recognition. 电子与信息学报. 42(1). 119–131. 4 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 Jean Dezert Breakdown of academic impact, for papers by Timothy C. Havens Breakdown of academic impact, for papers by Jian Yu Breakdown of academic impact, for papers by Jiulun Fan Breakdown of academic impact, for papers by Richard J. Hathaway Breakdown of academic impact, for papers by Raghu Krishnapuram Breakdown of academic impact, for papers by Changjing Shang Breakdown of academic impact, for papers by Shiji Song Breakdown of academic impact, for papers by Derek T. Anderson Breakdown of academic impact, for papers by C.A. Murthy
Rankless by CCL
2026