Jiang‐Ping Huang

1.0k citations
29 papers · 787 · h-index 15

Impact in

Papers in

Jiang‐Ping Huang

28 papers receiving 774 citations

Peers

Jiang‐Ping Huang
Comparison fields: 5 of 81
  • Industrial and Manufacturing Engineering 533
  • Cancer Research 82
  • Control and Systems Engineering 86
  • Computer Networks and Communications 72
  • Biochemistry 15
Replace Qifan Yang with:
Qifan Yang China
Jiansheng Guo China
Pierre Lopez France
Zeng Wang China
Xiaogang Zeng United States
Jing-fang Chen China
Ting Lu China
Lei Yue China
Jiang‐Ping Huang relative to Qifan Yang China Qifan Yang's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jiang‐Ping Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiang‐Ping Huang Line = papers co-authored together Jiang‐Ping Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 2020109
3 2020104
4 201870
5 202355
6 202350
7 202338
8 201036
9 202429
10
Dietary carotenoids and risk of breast cancer in Chinese women.
200722
11 202221
12 201518
13 202017
14 202315
15 202115
16 201113
17
The miR-101/RUNX1 feedback regulatory loop modulates chemo-sensitivity and invasion in human lung cancer.
201513
18 202310
19 20119
20 20197

About Jiang‐Ping Huang

Jiang‐Ping Huang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Networks and Communications, Molecular Biology and Cancer Research, having authored 29 papers that have together received 787 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Assembly Line Balancing Optimization (7 papers), Optimization and Search Problems (5 papers), Optimization and Packing Problems (4 papers), Elevator Systems and Control (3 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (533 citations), Cancer Research (82 citations), Control and Systems Engineering (86 citations), Computer Networks and Communications (72 citations) and Biochemistry (15 citations). Jiang‐Ping Huang has collaborated with scholars based in China, Singapore and Türkiye. Frequent co-authors include Liang Gao, Quan-Ke Pan, Xinyu Li, Zhonghua Miao, Chunjiang Zhang, Ponnuthurai Nagaratnam Suganthan, Ying‐Ying Huang, Liqian Qiu, Xiaohui Zhang and Li Chen. Their work appears in journals such as Swarm and Evolutionary Computation, Computers & Industrial Engineering, Applied Soft Computing, Engineering Applications of Artificial Intelligence and Journal of Manufacturing Systems.

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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