Chuan Luo

2.9k total citations
100 papers, 1.6k citations indexed

About

Chuan Luo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chuan Luo has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 33 papers in Artificial Intelligence and 22 papers in Information Systems. Recurrent topics in Chuan Luo's work include Constraint Satisfaction and Optimization (16 papers), Software Testing and Debugging Techniques (13 papers) and Software Reliability and Analysis Research (13 papers). Chuan Luo is often cited by papers focused on Constraint Satisfaction and Optimization (16 papers), Software Testing and Debugging Techniques (13 papers) and Software Reliability and Analysis Research (13 papers). Chuan Luo collaborates with scholars based in China, Australia and United States. Chuan Luo's co-authors include Shaowei Cai, Kaile Su, Jinkun Lin, Qingwei Lin, Wei Wu, Hongyu Zhang, Zhaofu Li, Abdul Sattar, Wenxuan Huang and Hengpeng Li and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and Journal of Environmental Management.

In The Last Decade

Chuan Luo

97 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chuan Luo China	23	499	449	285	266	201	100	1.6k
Kai Hu China	28	649 1.3×	245 0.5×	111 0.4×	351 1.3×	68 0.3×	219	2.6k
José C. Riquelme Spain	29	1.2k 2.4×	115 0.3×	204 0.7×	584 2.2×	201 1.0×	127	3.0k
Hongwei Du China	21	128 0.3×	978 2.2×	153 0.5×	88 0.3×	15 0.1×	137	2.1k
Carlos J. Alonso Spain	12	911 1.8×	90 0.2×	114 0.4×	178 0.7×	49 0.2×	47	1.9k
José Fco. Martínez-Trinidad Mexico	24	1.3k 2.7×	94 0.2×	312 1.1×	484 1.8×	25 0.1×	116	2.3k
Feng Cao China	16	258 0.5×	190 0.4×	124 0.4×	128 0.5×	25 0.1×	101	1.4k
Jonathan E. Fieldsend United Kingdom	25	1.1k 2.3×	212 0.5×	991 3.5×	113 0.4×	23 0.1×	90	2.1k
Jesús Ariel Carrasco-Ochoa Mexico	22	1.3k 2.5×	89 0.2×	279 1.0×	460 1.7×	22 0.1×	110	2.2k

Countries citing papers authored by Chuan Luo

Since Specialization

Citations

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

Fields of papers citing papers by Chuan Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Luo. A scholar is included among the top collaborators of Chuan Luo 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 Chuan Luo. Chuan Luo 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

Luo, Chuan, Yunyun Ren, Qin Zhang, et al.. (2025). Prediction of the fertile window and menstruation with a wearable device via machine-learning algorithms. Reproductive BioMedicine Online. 51(1). 104795–104795. 1 indexed citations

Li, Mo, Hao Yang, Cheng Li, et al.. (2025). Coordinating habitat protection and local development in Giant panda national park: an ecological carrying capacity perspective. Ecological Indicators. 178. 113945–113945.

Liu, Guangyuan, Chuan Luo, Shaowei Cai, et al.. (2024). Optimizing local search-based partial MaxSAT solving via initial assignment prediction. Science China Information Sciences. 68(2). 1 indexed citations

Luo, Chuan, et al.. (2024). Beyond Pairwise Testing: Advancing 3-wise Combinatorial Interaction Testing for Highly Configurable Systems. 641–653. 3 indexed citations

Wu, Wei, et al.. (2024). Time- and Space-Efficiently Sketching Billion-Scale Attributed Networks. IEEE Transactions on Knowledge and Data Engineering. 37(2). 966–978. 2 indexed citations

Xiang, Yi, Han Huang, Si‐Zhe Li, et al.. (2023). Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization. ACM Transactions on Software Engineering and Methodology. 33(2). 1–52. 5 indexed citations

Chu, Yi, Shaowei Cai, & Chuan Luo. (2023). NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 3915–3923. 5 indexed citations

Chu, Yi, Chuan Luo, Holger H. Hoos, & Haihang You. (2022). Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization. Expert Systems with Applications. 213. 118913–118913. 2 indexed citations

Luo, Chuan, Hao Yang, Shiliang Liu, et al.. (2022). Spatial-Temporal Change for Ecological Intactness of Giant Panda National Park and Its Adjacent Areas in Sichuan Province, China. Diversity. 14(6). 485–485. 7 indexed citations

10.

Wang, Jun, Chunyan Zhang, Peng Luo, Hao Yang, & Chuan Luo. (2022). Water yield response to plant community conversion caused by vegetation degradation and improvement in an alpine meadow on the northeastern Tibetan Plateau. The Science of The Total Environment. 856(Pt 2). 159174–159174. 11 indexed citations

11.

Qin, Si, Yong Xu, Bo Qiao, et al.. (2021). Effective low capacity status prediction for cloud systems. 1236–1241. 1 indexed citations

12.

Yan, Kai, et al.. (2021). A Surrogate Objective Framework for Prediction+Programming with Soft Constraints. Neural Information Processing Systems. 34. 1 indexed citations

13.

Luo, Chuan, Albert M. van Hemert, Ingrid V. E. Carlier, et al.. (2021). Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression. Psychiatry Research. 299. 113823–113823. 34 indexed citations

14.

Luo, Chuan, et al.. (2017). Comprehensive study on parameter sensitivity for flow and nutrient modeling in the Hydrological Simulation Program Fortran model. Environmental Science and Pollution Research. 24(26). 20982–20994. 16 indexed citations

15.

Huang, Wenxuan, Alexander Urban, Ziqin Rong, et al.. (2017). Construction of ground-state preserving sparse lattice models for predictive materials simulations. npj Computational Materials. 3(1). 19 indexed citations

16.

Cai, Shaowei, Chuan Luo, Jinkun Lin, & Kaile Su. (2016). New local search methods for partial MaxSAT. Artificial Intelligence. 240. 1–18. 26 indexed citations

17.

Luo, Chuan, Shaowei Cai, Kaile Su, & Wenxuan Huang. (2016). CCEHC: An efficient local search algorithm for weighted partial maximum satisfiability. Artificial Intelligence. 243. 26–44. 52 indexed citations

18.

Li, Zhaofu, et al.. (2014). [Sensitivity analysis of AnnAGNPS model's hydrology and water quality parameters based on the perturbation analysis method].. PubMed. 35(5). 1773–80. 5 indexed citations

19.

Li, Zhaofu, Hongyu Liu, Chuan Luo, et al.. (2014). Simulation of runoff and nutrient export from a typical small watershed in China using the Hydrological Simulation Program–Fortran. Environmental Science and Pollution Research. 22(10). 7954–7966. 19 indexed citations

20.

Cai, Shaowei, Kaile Su, & Chuan Luo. (2013). Improving walk SAT for random k-satisfiability problem with k > 3. National Conference on Artificial Intelligence. 204. 145–151. 12 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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