Jun Zhuang

7.5k total citations
230 papers, 5.2k citations indexed

About

Jun Zhuang is a scholar working on Civil and Structural Engineering, Sociology and Political Science and Information Systems. According to data from OpenAlex, Jun Zhuang has authored 230 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Civil and Structural Engineering, 63 papers in Sociology and Political Science and 35 papers in Information Systems. Recurrent topics in Jun Zhuang's work include Infrastructure Resilience and Vulnerability Analysis (68 papers), Terrorism, Counterterrorism, and Political Violence (26 papers) and Information and Cyber Security (26 papers). Jun Zhuang is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (68 papers), Terrorism, Counterterrorism, and Political Violence (26 papers) and Information and Cyber Security (26 papers). Jun Zhuang collaborates with scholars based in United States, China and Norway. Jun Zhuang's co-authors include Vicki M. Bier, Xiaojun Shan, Kjell Hausken, Bairong Wang, Kyle Hunt, Mehrdad Mohammadi, Behzad Zahiri, Fei He, Oğuzhan Alagöz and Victor Richmond R. Jose and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and European Journal of Operational Research.

In The Last Decade

Jun Zhuang

213 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Zhuang United States 40 1.6k 1.2k 852 746 662 230 5.2k
Kjell Hausken Norway 31 1.4k 0.9× 752 0.6× 1.2k 1.5× 555 0.7× 237 0.4× 240 3.6k
Vicki M. Bier United States 33 1.5k 1.0× 871 0.7× 577 0.7× 488 0.7× 274 0.4× 108 3.6k
Paulo Cortez Portugal 35 597 0.4× 449 0.4× 731 0.9× 255 0.3× 191 0.3× 185 6.2k
W.H. Ip Hong Kong 38 370 0.2× 281 0.2× 575 0.7× 524 0.7× 915 1.4× 353 6.0k
Jiuping Xu China 53 466 0.3× 621 0.5× 246 0.3× 1.7k 2.2× 1.1k 1.7× 390 10.1k
Anthony Chen United States 56 1.4k 0.9× 338 0.3× 87 0.1× 2.6k 3.4× 471 0.7× 344 9.9k
Moshe Ben‐Akiva United States 76 583 0.4× 1.1k 0.9× 155 0.2× 4.1k 5.5× 512 0.8× 435 22.8k
Anna Nagurney United States 52 554 0.4× 386 0.3× 297 0.3× 1.6k 2.1× 3.2k 4.8× 317 10.9k
Satish V. Ukkusuri United States 56 585 0.4× 1.4k 1.1× 103 0.1× 1.9k 2.6× 229 0.3× 304 9.6k
Mirosław J. Skibniewski United States 55 2.0k 1.3× 253 0.2× 442 0.5× 511 0.7× 1.9k 2.9× 335 10.1k

Countries citing papers authored by Jun Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhuang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhuang. A scholar is included among the top collaborators of Jun Zhuang 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 Jun Zhuang. Jun Zhuang 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, Yi, Xia Chen, Jun Zhuang, & Yucheng Dong. (2024). Defensive resource allocation in terrorism conflict management based on graph model with relative preferences. Socio-Economic Planning Sciences. 96. 102067–102067.
2.
Hunt, Kyle, et al.. (2024). Near-repeat terrorism: Identifying and analyzing the spatiotemporal attack patterns of major terrorist organizations. Expert Systems with Applications. 249. 123712–123712.
3.
Li, Yuan, et al.. (2024). Application of High-Frequency Ultrasound to Evaluate Forehead Filling Materials. Aesthetic Plastic Surgery. 48(12). 2239–2245. 1 indexed citations
4.
Hausken, Kjell, Jonathan Welburn, & Jun Zhuang. (2024). A Review of Attacker–Defender Games and Cyber Security. Games. 15(4). 28–28. 4 indexed citations
5.
Zhuang, Jun, et al.. (2024). Modeling defensive resource allocation in multilayered systems under probabilistic and strategic risks. Risk Analysis. 45(1). 177–193. 1 indexed citations
6.
Zhuang, Jun, et al.. (2024). Development of a major amputation prediction model and nomogram in patients with diabetic foot. Postgraduate Medical Journal. 100(1190). 908–916. 4 indexed citations
7.
8.
Wang, Wenjing, Xiaolong Liu, Hua Li, et al.. (2024). Light and gas dual-function detection and mutual enhancement based on hyperdoped black silicon. Optics Express. 32(8). 13384–13384. 1 indexed citations
9.
Aziz, Ridwan Al, et al.. (2024). Temporal patterns and life cycle dynamics of social media user activity during disasters: A data-driven approach for effective crisis communication. Expert Systems with Applications. 255. 124454–124454. 2 indexed citations
10.
Li, Lifang, Jiandong Zhou, Jun Zhuang, & Qingpeng Zhang. (2023). Gender-specific emotional characteristics of crisis communication on social media: Case studies of two public health crises. Information Processing & Management. 60(3). 103299–103299. 10 indexed citations
11.
Zhuang, Jun, et al.. (2023). The adverse impact of flight delays on passenger satisfaction: An innovative prediction model utilizing wide & deep learning. Journal of Air Transport Management. 114. 102511–102511. 10 indexed citations
12.
Long, Elisa F, Gilberto Montibeller, & Jun Zhuang. (2022). Health Decision Analysis: Evolution, Trends, and Emerging Topics. Decision Analysis. 19(4). 255–264. 4 indexed citations
13.
Zhuang, Jun, et al.. (2018). Online Traffic Signal Coordination with a Game-Theoretic Approach. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
14.
Jose, Victor Richmond R. & Jun Zhuang. (2017). Incorporating risk preferences in stochastic noncooperative games. IISE Transactions. 50(1). 1–13. 14 indexed citations
15.
Rao, Nageswara S. V., et al.. (2015). On resilience of cyber-physical infrastructures using discrete product-form games. Civil War Book Review. 1451–1458. 12 indexed citations
16.
Hausken, Kjell & Jun Zhuang. (2014). Game Theoretic Analysis of Congestion, Safety and Security: Traffic and Transportation Theory. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
17.
Hausken, Kjell & Jun Zhuang. (2014). Game Theoretic Analysis of Congestion, Safety and Security: Networks, Air Traffic and Emergency Departments. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
18.
Zhuang, Jun, et al.. (2011). Strategic interactions in disaster preparedness and relief in the face of man-made and natural disasters.. ISCRAM. 2 indexed citations
19.
Zhuang, Jun, et al.. (2011). Decisions in Disaster Recovery Operations: A Game Theoretic Perspective on Organization Cooperation. Journal of Homeland Security and Emergency Management. 8(1). 34 indexed citations
20.
Zhuang, Jun, et al.. (2009). Secrecy in Defensive Allocations as a Strategy for Achieving More Cost-Effec tive Att acker Dett errence. International Journal of Performability Engineering. 5(1). 31. 65 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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2026