Kai Chang

512 total citations
15 papers, 387 citations indexed

About

Kai Chang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Kai Chang has authored 15 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Kai Chang's work include Memory Processes and Influences (4 papers), Adaptive Control of Nonlinear Systems (4 papers) and Robotic Path Planning Algorithms (4 papers). Kai Chang is often cited by papers focused on Memory Processes and Influences (4 papers), Adaptive Control of Nonlinear Systems (4 papers) and Robotic Path Planning Algorithms (4 papers). Kai Chang collaborates with scholars based in China, United States and South Korea. Kai Chang's co-authors include Yuanqing Xia, Dailiang Ma, Tianya Li, Fan Pu, Jie Li, Xiaohui Qi, Yi Zhang, Zhiqiang Gao, Jennifer H. Coane and Mark J. Huff and has published in prestigious journals such as Frontiers in Psychology, Neurocomputing and Journal of the Franklin Institute.

In The Last Decade

Kai Chang

14 papers receiving 379 citations

Peers

Kai Chang
Pauline Pounds Australia
Patricio Ordaz Mexico
Wang Yuan China
Mostafa Mohammadi Iran
Changsu Ha South Korea
David St-Onge Canada
Greg Droge United States
Konstantin Zimenko Russia
S. Gulati United States
Pauline Pounds Australia
Kai Chang
Citations per year, relative to Kai Chang Kai Chang (= 1×) peers Pauline Pounds

Countries citing papers authored by Kai Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Chang

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

All Works

15 of 15 papers shown
1.
Chang, Kai, et al.. (2024). Serve Yourself or Serve Your Students? How and When Supervisor Narcissism is Related to Mental Health of Graduate Students. Psychology Research and Behavior Management. Volume 17. 3555–3571.
2.
Coane, Jennifer H., et al.. (2024). Comparison of semantic and phonological false memories in short- and long-term tests. Quarterly Journal of Experimental Psychology. 77(12). 2551–2571. 1 indexed citations
3.
4.
Coane, Jennifer H., et al.. (2021). Manipulations of List Type in the DRM Paradigm: A Review of How Structural and Conceptual Similarity Affect False Memory. Frontiers in Psychology. 12. 668550–668550. 20 indexed citations
5.
Coane, Jennifer H., et al.. (2021). Using the phenomenology of memory for recent events to bridge the gap between episodic and semantic memory. Memory & Cognition. 50(3). 495–511. 4 indexed citations
6.
Zhao, Pengpeng, et al.. (2021). Target Tracking Based on Particle Filter and Mean Shift. 2. 14–20. 1 indexed citations
7.
Chang, Kai, et al.. (2019). Lyapunov vector-based formation tracking control for unmanned aerial vehicles with obstacle/collision avoidance. Transactions of the Institute of Measurement and Control. 42(5). 942–950. 14 indexed citations
8.
Chang, Kai, et al.. (2016). UAV formation control design with obstacle avoidance in dynamic three-dimensional environment. SpringerPlus. 5(1). 1124–1124. 27 indexed citations
9.
Ma, Dailiang, Yuanqing Xia, Tianya Li, & Kai Chang. (2016). Active disturbance rejection and predictive control strategy for a quadrotor helicopter. IET Control Theory and Applications. 10(17). 2213–2222. 99 indexed citations
10.
Chang, Kai, et al.. (2016). Obstacle avoidance and active disturbance rejection control for a quadrotor. Neurocomputing. 190. 60–69. 61 indexed citations
11.
Chang, Kai, et al.. (2015). Coordinated formation control design with obstacle avoidance in three-dimensional space. Journal of the Franklin Institute. 352(12). 5779–5795. 16 indexed citations
12.
Li, Jie, Yuanqing Xia, Xiaohui Qi, et al.. (2015). Absolute stability analysis of non‐linear active disturbance rejection control for single‐input–single‐output systems via the circle criterion method. IET Control Theory and Applications. 9(15). 2320–2329. 36 indexed citations
13.
Li, Jie, Xiaohui Qi, Yuanqing Xia, Fan Pu, & Kai Chang. (2014). Frequency domain stability analysis of nonlinear active disturbance rejection control system. ISA Transactions. 56. 188–195. 32 indexed citations
14.
Zhang, Yi, et al.. (2008). Normalized Lempel-Ziv complexity and its application in bio-sequence analysis. Journal of Mathematical Chemistry. 46(4). 1203–1212. 28 indexed citations
15.
Chang, Kai, et al.. (1994). Feedback-assisted iterative learning control based on an inverse process model. Journal of Process Control. 4(2). 77–89. 42 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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Rankless by CCL
2026