Hongling Ye

881 citations
71 papers · 657 · h-index 16

Impact in

Papers in

Hongling Ye

68 papers receiving 643 citations

Peers

Hongling Ye
Comparison fields: 5 of 120
  • Civil and Structural Engineering 305
  • Mechanics of Materials 184
  • Computational Theory and Mathematics 86
  • Mechanical Engineering 150
  • Physiology 14
Replace Ali Khani with:
Ali Khani Iran
Abhishek Kundu United Kingdom
G. Hulbert United States
Sung Won Kang South Korea
Sara Rainieri Italy
Ngoc Le Chau Vietnam
Xubing Chen China
En Lu China
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Citations per field
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Citations per year

Countries citing papers authored by Hongling Ye

Since Specialization
Citations

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

Fields of papers citing papers by Hongling Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hongling 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 Hongling Ye Line = papers co-authored together Hongling Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202168
2 201846
3 201630
4 201929
5 202328
6 201727
7 202224
8 202423
9 202322
10 202218
11 200417
12 201917
13 202316
14 201616
15 201915
16 202215
17 201515
18 202114
19 202114
20 202314

About Hongling Ye

Hongling Ye is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics, Mechanical Engineering and Control and Systems Engineering, having authored 71 papers that have together received 657 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (36 papers), Composite Structure Analysis and Optimization (27 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Structural Analysis and Optimization (12 papers), Advanced Materials and Mechanics (6 papers), Structural Load-Bearing Analysis (6 papers), Composite Material Mechanics (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). The work is most often cited by research in Civil and Structural Engineering (305 citations), Mechanics of Materials (184 citations), Computational Theory and Mathematics (86 citations), Mechanical Engineering (150 citations) and Physiology (14 citations). Hongling Ye has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yunkang Sui, Weiwei Wang, Nan Wei, Jicheng Li, Ran Tao, Xing Zhang, Zhen Luo, Jinglei Li, Ziyang Ye and Yang Zhang. Their work appears in journals such as Acta Mechanica Sinica, Acta Mechanica Solida Sinica, Structural and Multidisciplinary Optimization, Mechanics of Advanced Materials and Structures and Bioorganic & Medicinal Chemistry Letters.

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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