Jun-Hua Duan

25 total papers · 781 total citations
22 papers, 554 citations indexed

About

Jun-Hua Duan is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jun-Hua Duan has authored 22 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Industrial and Manufacturing Engineering, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Jun-Hua Duan's work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (14 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Jun-Hua Duan is often cited by papers focused on Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (14 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Jun-Hua Duan collaborates with scholars based in China and Russia. Jun-Hua Duan's co-authors include Quan-Ke Pan, Hongyan Sang, Liang Gao, Junqing Li, Ling Wang, Zhong Dong, Yi‐An Zhu, Wen-Qiang Zou, Min Zhang and Yuyan Han and has published in prestigious journals such as Knowledge-Based Systems, Omega and Heliyon.

In The Last Decade

Jun-Hua Duan

22 papers receiving 543 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Jun-Hua Duan	298	171	70	55	49	22	554
Pedro López-García	167 0.6×	277 1.6×	77 1.1×	49 0.9×	73 1.5×	23	573
Panta Lučić	201 0.7×	169 1.0×	118 1.7×	58 1.1×	62 1.3×	14	590
Xiaoning Shen	322 1.1×	149 0.9×	73 1.0×	34 0.6×	120 2.4×	28	614
Maroua Nouiri	470 1.6×	122 0.7×	81 1.2×	49 0.9×	39 0.8×	15	654
Michaël Sampels	327 1.1×	193 1.1×	31 0.4×	42 0.8×	85 1.7×	20	590
Saïd Hanafi	447 1.5×	116 0.7×	53 0.8×	32 0.6×	40 0.8×	21	577
Milica Petrović	202 0.7×	206 1.2×	83 1.2×	80 1.5×	56 1.1×	34	585
Lenz Belzner	443 1.5×	111 0.6×	89 1.3×	31 0.6×	17 0.3×	29	615
Milad Baghalzadeh Shishehgarkhaneh	85 0.3×	176 1.0×	38 0.5×	56 1.0×	70 1.4×	20	534
Tianhua Jiang	503 1.7×	169 1.0×	74 1.1×	42 0.8×	46 0.9×	40	665

Countries citing papers authored by Jun-Hua Duan

Since Specialization

Citations

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

Fields of papers citing papers by Jun-Hua Duan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Hua Duan

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

All Works

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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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