Junqing Li

7.0k total citations · 1 hit paper
246 papers, 5.4k citations indexed

About

Junqing Li is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Junqing Li has authored 246 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Industrial and Manufacturing Engineering, 50 papers in Artificial Intelligence and 32 papers in Computer Networks and Communications. Recurrent topics in Junqing Li's work include Scheduling and Optimization Algorithms (100 papers), Advanced Manufacturing and Logistics Optimization (86 papers) and Metaheuristic Optimization Algorithms Research (40 papers). Junqing Li is often cited by papers focused on Scheduling and Optimization Algorithms (100 papers), Advanced Manufacturing and Logistics Optimization (86 papers) and Metaheuristic Optimization Algorithms Research (40 papers). Junqing Li collaborates with scholars based in China, Macao and United States. Junqing Li's co-authors include Quan-Ke Pan, Hongyan Sang, Yuyan Han, Kaizhou Gao, Peiyong Duan, Yunqi Han, Yiping Liu, Peng Duan, Liang Gao and Shengxian Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Junqing Li

234 papers receiving 5.2k citations

Hit Papers

Growth Optimizer: A power... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junqing Li 3.0k 1.1k 603 540 466 246 5.4k
Abdullah Konak 1.1k 0.4× 487 0.4× 501 0.8× 453 0.8× 676 1.5× 135 4.6k
T. Warren Liao 1.4k 0.5× 1.6k 1.5× 372 0.6× 370 0.7× 653 1.4× 142 6.4k
Lixin Tang 3.9k 1.3× 1.3k 1.2× 1.1k 1.8× 564 1.0× 303 0.7× 339 6.8k
Ling Wang 1.5k 0.5× 660 0.6× 315 0.5× 374 0.7× 292 0.6× 153 3.1k
Chao Liu 2.8k 0.9× 451 0.4× 815 1.4× 450 0.8× 453 1.0× 200 6.2k
Yi Mei 2.3k 0.8× 3.1k 2.8× 503 0.8× 809 1.5× 696 1.5× 250 6.1k
János Abonyi 870 0.3× 1.2k 1.1× 1.1k 1.9× 202 0.4× 315 0.7× 267 4.4k
Dirk Cattrysse 2.1k 0.7× 282 0.3× 524 0.9× 322 0.6× 417 0.9× 149 4.7k
Runwei Cheng 2.7k 0.9× 1.2k 1.1× 1.0k 1.7× 558 1.0× 568 1.2× 31 6.1k
Azlan Mohd Zain 693 0.2× 928 0.8× 308 0.5× 364 0.7× 1.2k 2.5× 151 4.4k

Countries citing papers authored by Junqing Li

Since Specialization
Citations

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

Fields of papers citing papers by Junqing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junqing Li. A scholar is included among the top collaborators of Junqing Li 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 Junqing Li. Junqing Li 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.
Li, Junqing, et al.. (2025). Depth Imaging-Based Framework for Efficient Phenotypic Recognition in Tomato Fruit. Plants. 14(22). 3434–3434. 1 indexed citations
2.
Wang, Yuting, et al.. (2024). Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling. Expert Systems with Applications. 257. 125026–125026. 4 indexed citations
5.
Sang, Hongyan, Junqing Li, Yuyan Han, et al.. (2023). Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop. Swarm and Evolutionary Computation. 77. 101227–101227. 17 indexed citations
6.
Chen, Xiaolong, Junqing Li, & Yu Du. (2023). A hybrid evolutionary immune algorithm for fuzzy flexible job shop scheduling problem with variable processing speeds. Expert Systems with Applications. 233. 120891–120891. 26 indexed citations
7.
Tan, Yanyan, et al.. (2023). A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization. Expert Systems with Applications. 236. 121374–121374. 10 indexed citations
8.
Zhang, Qingke, et al.. (2023). An efficient Optimization State-based Coyote Optimization Algorithm and its applications. Applied Soft Computing. 147. 110827–110827. 17 indexed citations
9.
Sang, Hongyan, et al.. (2023). An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime. Engineering Applications of Artificial Intelligence. 123. 106347–106347. 24 indexed citations
10.
Zhang, Qingke, et al.. (2022). Growth Optimizer: A powerful metaheuristic algorithm for solving continuous and discrete global optimization problems. Knowledge-Based Systems. 261. 110206–110206. 131 indexed citations breakdown →
11.
Li, Yuanzhen, Quan-Ke Pan, Junqing Li, Liang Gao, & M. Fatih Taşgetiren. (2021). An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems. Swarm and Evolutionary Computation. 63. 100874–100874. 55 indexed citations
12.
Sang, Hongyan, et al.. (2020). Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming. IEEE Access. 8. 89782–89792. 14 indexed citations
13.
Li, Junqing, et al.. (2019). Solving Distributed Hybrid Flowshop Scheduling Problems by a Hybrid Brain Storm Optimization Algorithm. IEEE Access. 7. 66879–66894. 56 indexed citations
14.
Gao, Shi-Jie, et al.. (2016). Spectroscopic Characteristics of Dissolved Organic Matter in Afforestation Forest Soil of Miyun District, Beijing. Journal of Analytical Methods in Chemistry. 2016. 1–10. 26 indexed citations
15.
Li, Junqing. (2012). A Study on Marxism Popularization in Universities:Based on the Interviews with some Politics Teachers. Journal of Beijing University of Technology.
16.
Wang, Chuanhua, Fangqing Chen, Yuan Wang, & Junqing Li. (2011). [Soil heterotrophic respiration and its sensitivity to soil temperature and moisture in Liquidambar formosana and Pinus massoniana forests in hilly areas of southeast Hubei Province, China].. PubMed. 22(3). 600–6. 3 indexed citations
17.
Li, Junqing, et al.. (2010). Effect of different canopy conditions on biomass allocation and clonal morphology of Fargesia denudata in a subalpine coniferous forest in southwestern China.. 34(6). 753–760. 4 indexed citations
18.
Li, Junqing. (2006). The Effect of Fire Severity on the Larix gmelini Community in North Great Xing'an Mountains. Science Technology and Engineering. 1 indexed citations
19.
Li, Junqing, et al.. (2001). THE STUDY OF SEASONAL RAIN FOREST CLASSIFICATION IN ACID SOIL REGION OF GUANGXI. Zhiwu yanjiu. 21(4). 481. 1 indexed citations
20.
Li, Junqing, et al.. (1999). Classification and succession of Schima superba forest in Guangxi. Zhiwu ziyuan yu huanjing. 8(3). 18–28. 2 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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