Yan Tu

62 papers receiving 1.0k citations

Peers

Yan Tu
Comparison fields: 5 of 99
  • Management Science and Operations Research 301
  • Ocean Engineering 206
  • Water Science and Technology 163
  • Strategy and Management 134
  • Organizational Behavior and Human Resource Management 68
Replace Zongmin Li with:
Zongmin Li China
Adolfo López‐Paredes Spain
Yuan‐Wei Du China
Dulcy M. Abraham United States
Danielle Costa Morais Brazil
Erik Pruyt Netherlands
Ying Ji China
Guijun Li China
Mats Danielson Sweden
Juan Aguarón Spain
Yan Tu relative to Zongmin Li China Zongmin Li's profile →
Citations per field
00.5×1.5×2.0×
Zongmin Li · 1×
Citations per year

Countries citing papers authored by Yan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201287
3 201871
4 202160
5 201559
6 201943
7 201743
8 202037
9 201828
10 201628
11 201827
12 201723
13 202223
14 202023
15 202322
16 201922
17 202221
18 202121
19 202120
20 202219

About Yan Tu

Yan Tu is a scholar working on Management Science and Operations Research, Sociology and Political Science, Ocean Engineering, Civil and Structural Engineering and Water Science and Technology, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (24 papers), Water resources management and optimization (9 papers), Optimization and Mathematical Programming (8 papers), Misinformation and Its Impacts (8 papers), Fuzzy Systems and Optimization (6 papers), Facility Location and Emergency Management (5 papers), Water Systems and Optimization (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Management Science and Operations Research (301 citations), Ocean Engineering (206 citations), Water Science and Technology (163 citations), Strategy and Management (134 citations) and Organizational Behavior and Human Resource Management (68 citations). Yan Tu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Benjamin Lev, Xiaoyang Zhou, Zongmin Li, Yingying Liang, Ziqiang Zeng, Liyi Liu, Lei Xu, Wenjing Shen, Yanbing Ju and Feng Shen. Their work appears in journals such as Expert Systems with Applications, Symmetry, Journal of Cleaner Production, Omega and Computers & Industrial Engineering.

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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