Honghan Ye

539 citations
23 papers · 368 · h-index 12

Impact in

Papers in

Honghan Ye

23 papers receiving 359 citations

Peers

Honghan Ye
Comparison fields: 5 of 62
  • Industrial and Manufacturing Engineering 151
  • Emergency Medical Services 45
  • Statistics, Probability and Uncertainty 44
  • Computational Mathematics 2
  • Mechanical Engineering 109
Replace Saravanan Venkatachalam with:
Saravanan Venkatachalam United States
Yang-Kuei Lin Taiwan
David Duvivier France
Inkyung Sung Denmark
Raed Al Kontar United States
José L. Andrade-Pineda Spain
D.R. Prajapati India
Theodore H Hopp United States
Pei-Fang Tsai Taiwan
Tobias Andersson Sweden
Honghan Ye relative to Saravanan Venkatachalam United States Saravanan Venkatachalam's profile →
Citations per field
00.5×4.4×
Saravanan Venkatachalam · 1×
Citations per year

Countries citing papers authored by Honghan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Honghan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Honghan Ye, 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 Honghan Ye Line = papers co-authored together Honghan Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202271
2 202038
3 201728
4 202223
5 201723
6 201620
7 201619
8 202218
9 201718
10 201914
11 202214
12 201813
13 202411
14 202211
15 202310
16 20239
17 20199
18 20228
19 20223
20 20242

About Honghan Ye

Honghan Ye is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Statistics, Probability and Uncertainty, Management Science and Operations Research and Emergency Medical Services, having authored 23 papers that have together received 368 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Advanced machining processes and optimization (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Advanced Measurement and Metrology Techniques (5 papers), Assembly Line Balancing Optimization (5 papers), Healthcare Operations and Scheduling Optimization (4 papers), Advanced Statistical Process Monitoring (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (151 citations), Emergency Medical Services (45 citations), Statistics, Probability and Uncertainty (44 citations), Computational Mathematics (2 citations) and Mechanical Engineering (109 citations). Honghan Ye has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Li, Kaibo Liu, Xinyuan Wei, Enming Miao, Xi Wang, Barrie R. Nault, Xiaochen Xian, Xin Wang, Jing-Ru C. Cheng and B. Ian Hutchins. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, International Journal of Production Research, Sensors, Journal of Manufacturing Systems and IISE Transactions.

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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