Jiang‐Ping Huang

35 total papers · 950 total citations
28 papers, 728 citations indexed

About

Jiang‐Ping Huang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Jiang‐Ping Huang has authored 28 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 6 papers in Control and Systems Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Jiang‐Ping Huang's work include Scheduling and Optimization Algorithms (15 papers), Advanced Manufacturing and Logistics Optimization (11 papers) and Assembly Line Balancing Optimization (7 papers). Jiang‐Ping Huang is often cited by papers focused on Scheduling and Optimization Algorithms (15 papers), Advanced Manufacturing and Logistics Optimization (11 papers) and Assembly Line Balancing Optimization (7 papers). Jiang‐Ping Huang collaborates with scholars based in China, Türkiye and Singapore. Jiang‐Ping Huang's co-authors include Liang Gao, Quan-Ke Pan, Xinyu Li, Zhonghua Miao, Ponnuthurai Nagaratnam Suganthan, Ying‐Ying Huang, Chunjiang Zhang, Xiaohui Zhang, Liqian Qiu and Liyun Luo and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Current Pharmaceutical Design.

In The Last Decade

Jiang‐Ping Huang

28 papers receiving 707 citations

Author Peers

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

Author						Papers	Cites
Jiang‐Ping Huang	491	98	93	74	65	28	728
Min Kong	347 0.7×	93 0.9×	49 0.5×	32 0.4×	78 1.2×	42	624
Pallavi Banerjee	213 0.4×	282 2.9×	76 0.8×	32 0.4×	10 0.2×	32	817
Zhi Cao	221 0.5×	175 1.8×	21 0.2×	170 2.3×	9 0.1×	45	858
Xiongwen Quan	296 0.6×	198 2.0×	61 0.7×	9 0.1×	13 0.2×	38	769
Srinivas	238 0.5×	39 0.4×	9 0.1×	54 0.7×	22 0.3×	36	710
Danyong Li	90 0.2×	94 1.0×	22 0.2×	357 4.8×	45 0.7×	34	736
Arzu Onar	97 0.2×	198 2.0×	49 0.5×	36 0.5×	2 0.0×	25	799
Jun Lv	66 0.1×	221 2.3×	103 1.1×	167 2.3×	8 0.1×	40	762
Danmin Chen	64 0.1×	116 1.2×	38 0.4×	384 5.2×	17 0.3×	33	816
Ioannis Valavanis	75 0.2×	100 1.0×	14 0.2×	8 0.1×	18 0.3×	34	695

Countries citing papers authored by Jiang‐Ping Huang

Since Specialization

Citations

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

Fields of papers citing papers by Jiang‐Ping Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiang‐Ping Huang. 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 Jiang‐Ping Huang. The network helps show where Jiang‐Ping Huang may publish in the future.

Co-authorship network of co-authors of Jiang‐Ping Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang‐Ping Huang. A scholar is included among the top collaborators of Jiang‐Ping Huang 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 Jiang‐Ping Huang. Jiang‐Ping Huang 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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