Zhaodan Kong

2.4k total citations · 1 hit paper
73 papers, 1.5k citations indexed

About

Zhaodan Kong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Zhaodan Kong has authored 73 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 21 papers in Aerospace Engineering. Recurrent topics in Zhaodan Kong's work include Robotic Path Planning Algorithms (14 papers), Guidance and Control Systems (10 papers) and Robotics and Sensor-Based Localization (8 papers). Zhaodan Kong is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), Guidance and Control Systems (10 papers) and Robotics and Sensor-Based Localization (8 papers). Zhaodan Kong collaborates with scholars based in United States, China and Austria. Zhaodan Kong's co-authors include Bernard Mettler, Chad Goerzen, Austin Jones, Călin Belta, Elvira S. de Lange, Wieke Heldens, Gang Chen, Derya Aksaray, Mac Schwager and Xinfan Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Zhaodan Kong

66 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance

2009 548 citations Chad Goerzen, Zhaodan Kong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhaodan Kong United States	16	656	569	320	307	233	73	1.5k
Enric Pastor Spain	19	286 0.4×	660 1.2×	103 0.3×	113 0.4×	249 1.1×	116	1.5k
Pedro U. Lima Portugal	26	749 1.1×	564 1.0×	493 1.5×	469 1.5×	614 2.6×	181	2.1k
Ali Karimoddini United States	15	212 0.3×	193 0.3×	168 0.5×	289 0.9×	245 1.1×	102	951
Ali‐akbar Agha‐mohammadi United States	27	987 1.5×	1.0k 1.8×	359 1.1×	389 1.3×	390 1.7×	98	2.0k
Anthony Stentz United States	21	927 1.4×	662 1.2×	304 0.9×	365 1.2×	169 0.7×	51	1.5k
Stefano Carpin United States	28	1.2k 1.8×	1.0k 1.8×	379 1.2×	475 1.5×	608 2.6×	125	2.3k
Lazaros Nalpantidis Denmark	20	768 1.2×	328 0.6×	319 1.0×	741 2.4×	87 0.4×	86	2.2k
Adel Ammar Saudi Arabia	23	678 1.0×	318 0.6×	370 1.2×	156 0.5×	214 0.9×	52	1.5k
Holger Voos Luxembourg	27	776 1.2×	819 1.4×	301 0.9×	1.2k 4.1×	408 1.8×	227	2.6k
Ioan A. Şucan United States	16	1.5k 2.3×	755 1.3×	369 1.2×	1.1k 3.4×	110 0.5×	27	2.0k

Countries citing papers authored by Zhaodan Kong

Since Specialization

Citations

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

Fields of papers citing papers by Zhaodan Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaodan Kong

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

All Works

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20 of 20 papers shown

Vougioukas, Stavros, et al.. (2025). Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach. Computers and Electronics in Agriculture. 238. 110802–110802.

Wu, Jiemin, et al.. (2025). Exploring the suitability of piecewise-linear dynamical system models for cognitive neural dynamics. Frontiers in Neuroscience. 19. 1582080–1582080.

Anderson, Allison P., et al.. (2025). An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming. PubMed. 6. 1627483–1627483. 1 indexed citations

Kong, Zhaodan, et al.. (2024). Operationally Realistic Human-Autonomy Teaming Task Simulation to Study Multi-Dimensional Trust. 1028–1032.

Kaduwela, A. P., et al.. (2024). A Control-Theoretic Spatio-Temporal Model for Wildfire Smoke Propagation Using UAV-Based Air Pollutant Measurements. Drones. 8(5). 169–169. 2 indexed citations

Fu, Kaiming, et al.. (2024). A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping. Sensors. 24(8). 2494–2494. 4 indexed citations

Barkouki, Tammer, et al.. (2023). XAI Design Goals and Evaluation Metrics for Space Exploration: A Survey of Human Spaceflight Domain Experts. AIAA SCITECH 2023 Forum. 1 indexed citations

Kong, Zhaodan, et al.. (2023). Neural ensemble dynamics in trunk and hindlimb sensorimotor cortex encode for the control of postural stability. Cell Reports. 42(4). 112347–112347. 3 indexed citations

Kong, Zhaodan, et al.. (2022). Modeling and validation of electric multirotor unmanned aerial vehicle system energy dynamics. eTransportation. 12. 100173–100173. 22 indexed citations

10.

Kong, Zhaodan, et al.. (2020). Multi-Agent Cooperative Pursuit-Defense Strategy Against One Single Attacker. IEEE Robotics and Automation Letters. 5(4). 5772–5778. 17 indexed citations

11.

Chen, Gang, Mei Liu, & Zhaodan Kong. (2019). Semantic Inference for Cyber-Physical Systems with Signal Temporal Logic. 10. 6269–6274. 1 indexed citations

12.

Linke, Barbara, et al.. (2017). Digitalization of Human Operations in the Age of Cyber Manufacturing: Sensorimotor Analysis of Manual Grinding Performance. Journal of Manufacturing Science and Engineering. 139(10). 9 indexed citations

13.

Chen, Gang, et al.. (2016). Active learning based requirement mining for cyber-physical systems. 4586–4593. 5 indexed citations

14.

Kong, Zhaodan, Nathan W. Fuller, Shuai Wang, et al.. (2016). Perceptual Modalities Guiding Bat Flight in a Native Habitat. Scientific Reports. 6(1). 27252–27252. 15 indexed citations

15.

Mettler, Bernard, et al.. (2015). Systems view on spatial planning and perception based on invariants in agent-environment dynamics. Frontiers in Neuroscience. 8. 439–439. 14 indexed citations

16.

Jones, Austin, Zhaodan Kong, & Călin Belta. (2014). Anomaly detection in cyber-physical systems: A formal methods approach. 848–853. 67 indexed citations

17.

Kong, Zhaodan & Bernard Mettler. (2011). An investigation of spatial behavior in agile guidance tasks. 2473–2480. 8 indexed citations

18.

Mettler, Bernard, et al.. (2010). Benchmarking of obstacle field navigation algorithms for autonomous helicopters. 3. 1936–1953. 28 indexed citations

19.

Mettler, Bernard, et al.. (2010). Agile autonomous guidance using spatial value functions. Control Engineering Practice. 18(7). 773–788. 27 indexed citations

20.

Mettler, Bernard & Zhaodan Kong. (2008). Receding horizon trajectory optimization with a finite-state value function approximation. 3810–3816. 18 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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