Jin‐Kao Hao

12.4k total citations · 2 hit papers
262 papers, 6.7k citations indexed

About

Jin‐Kao Hao is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jin‐Kao Hao has authored 262 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Industrial and Manufacturing Engineering, 99 papers in Artificial Intelligence and 74 papers in Computational Theory and Mathematics. Recurrent topics in Jin‐Kao Hao's work include Vehicle Routing Optimization Methods (117 papers), Metaheuristic Optimization Algorithms Research (77 papers) and Scheduling and Timetabling Solutions (58 papers). Jin‐Kao Hao is often cited by papers focused on Vehicle Routing Optimization Methods (117 papers), Metaheuristic Optimization Algorithms Research (77 papers) and Scheduling and Timetabling Solutions (58 papers). Jin‐Kao Hao collaborates with scholars based in France, China and United States. Jin‐Kao Hao's co-authors include Zhipeng Lü, Qinghua Wu, Fred Glover, Una Benlic, Philippe Galinier, Michel Vasquez, Xiangjing Lai, Yuning Chen, Béatrice Duval and Yangming Zhou and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and European Journal of Operational Research.

In The Last Decade

Jin‐Kao Hao

244 papers receiving 6.5k citations

Hit Papers

Transit network design and scheduling: A global review 2008 2026 2014 2020 2008 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Kao Hao France 43 2.9k 2.1k 1.5k 1.4k 1.3k 262 6.7k
Enrique Alba Spain 47 1.1k 0.4× 4.1k 1.9× 1.8k 1.2× 2.6k 1.8× 509 0.4× 303 8.8k
Maurício G. C. Resende United States 51 6.0k 2.1× 2.7k 1.3× 2.3k 1.6× 2.1k 1.5× 1.2k 0.9× 182 11.0k
Gerhard Reinelt Germany 30 2.2k 0.8× 1.7k 0.8× 979 0.7× 1.3k 0.9× 316 0.2× 95 4.9k
Alberto Caprara Italy 37 2.8k 1.0× 512 0.2× 846 0.6× 568 0.4× 483 0.4× 110 4.6k
Martin Grötschel Germany 36 2.2k 0.8× 1.1k 0.5× 1.9k 1.2× 4.2k 3.0× 622 0.5× 107 8.4k
Toshihide Ibaraki Japan 40 1.9k 0.7× 1.4k 0.7× 1.7k 1.2× 2.1k 1.5× 468 0.4× 266 5.9k
Wei–Neng Chen China 43 825 0.3× 3.6k 1.7× 919 0.6× 2.1k 1.5× 399 0.3× 203 6.5k
Michael Held United States 34 2.2k 0.8× 567 0.3× 945 0.6× 778 0.6× 280 0.2× 73 6.9k
Adam N. Letchford United Kingdom 26 1.8k 0.6× 709 0.3× 1.1k 0.7× 1.5k 1.1× 330 0.3× 114 5.1k
Marco Laumanns Switzerland 28 1.9k 0.7× 5.5k 2.6× 564 0.4× 6.6k 4.8× 1.4k 1.0× 76 11.0k

Countries citing papers authored by Jin‐Kao Hao

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Kao Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Kao Hao. 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 Jin‐Kao Hao. The network helps show where Jin‐Kao Hao may publish in the future.

Co-authorship network of co-authors of Jin‐Kao Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Kao Hao. A scholar is included among the top collaborators of Jin‐Kao Hao 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 Jin‐Kao Hao. Jin‐Kao Hao 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.
He, Pengfei, et al.. (2025). Learning-guided iterated local search for the minmax multiple traveling salesman problem. Computers & Operations Research. 185. 107255–107255.
2.
Lai, Xiangjing, Jin‐Kao Hao, Dong Yue, & Yangming Zhou. (2025). A heuristic algorithm with multi-scale perturbations for point arrangement and equal circle packing in a convex container. Computers & Operations Research. 181. 107099–107099.
3.
Wu, Xinyu, et al.. (2025). Efficient Backbone Network Construction in Wireless Artificial Intelligent Computing Systems. Tsinghua Science & Technology. 30(5). 2300–2319. 1 indexed citations
4.
Lei, Zhenyu & Jin‐Kao Hao. (2024). An effective memetic algorithm for the close-enough traveling salesman problem. Applied Soft Computing. 153. 111266–111266. 2 indexed citations
5.
Wang, Yang, et al.. (2024). Collaborative scheduling and routing of home healthcare service across multiple communities. OR Spectrum. 47(2). 525–563. 1 indexed citations
6.
Hao, Jin‐Kao, et al.. (2024). Efficient Adaptive Large Neighborhood Search for Sensor–Weapon–Target Assignment. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6397–6409.
8.
Lü, Zhi, Anna Martı́nez-Gavara, Jin‐Kao Hao, & Xiangjing Lai. (2023). Solution-based tabu search for the capacitated dispersion problem. Expert Systems with Applications. 223. 119856–119856. 13 indexed citations
9.
Zhou, Yangming, et al.. (2022). A fast tri-individual memetic search approach for the distance-based critical node problem. European Journal of Operational Research. 308(2). 540–554. 14 indexed citations
10.
Kochenberger, Gary, Jin‐Kao Hao, Fred Glover, et al.. (2014). The unconstrained binary quadratic programming problem: a survey. Journal of Combinatorial Optimization. 28(1). 58–81. 262 indexed citations breakdown →
11.
Ngom, Alioune, Enrico Formenti, & Jin‐Kao Hao. (2013). Pattern Recognition in Bioinformatics: 8th IAPR International Conference, PRIB 2013, Nice, France, June 17-20, 2013. Proceedings. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Merz, Peter, et al.. (2011). Evolutionary computation in combinatorial optimization : 11th European conference, EvoCOP 2011, Torino, Italy, April 27-29, 2011 : proceedings. Springer eBooks. 3 indexed citations
13.
Hao, Jin‐Kao, et al.. (2010). Improving timetable quality in scheduled transit networks. 21–30. 11 indexed citations
14.
Hao, Jin‐Kao, et al.. (2007). Scatter Search for Graph Coloring. 1 indexed citations
15.
Hao, Jin‐Kao, et al.. (2004). A hybrid evolutionary algorithm for CSP. Lecture notes in computer science. 2936. 79–90. 1 indexed citations
16.
Hao, Jin‐Kao, et al.. (2004). A linear-time algorithm to solve the Sports League Scheduling Problem (prob026 of CSPLib). Discrete Applied Mathematics. 143(1-3). 252–265. 9 indexed citations
17.
Collet, Pierre, Cyril Fonlupt, Jin‐Kao Hao, Évelyne Lutton, & Marc Schoenauer. (2002). Artificial Evolution : 5th International Conference, Evolution Artificielle, EA 2001, Le Creusot, France, October 29-31, 2001 : selected papers. Springer eBooks. 2 indexed citations
18.
Brault, Vincent & Jin‐Kao Hao. (2002). Un algorithme hybride pour le problème de sac à dos multi-objectifs. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
19.
Hao, Jin‐Kao, Philippe Galinier, & Michel Habib. (1999). Métaheuristiques pour l'optimisation combinatoire et l'affectation sous contraintes. Revue d intelligence artificielle. 13(2). 283–324. 22 indexed citations
20.
Hao, Jin‐Kao, Philippe Galinier, & Michel Habib. (1999). Méthaheuristiques pour l'optimisation combinatoire et l'affectation sous contraintes. SPIRE - Sciences Po Institutional REpository. 1 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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