Haidong Liu

725 citations
46 papers · 446 indexed · h-index 11

Haidong Liu

38 papers receiving 431 citations

Peers

Haidong Liu
Comparison fields: 5 of 60
  • Transportation 93
  • Industrial and Manufacturing Engineering 104
  • Computational Mechanics 147
  • Statistical and Nonlinear Physics 85
  • Mechanical Engineering 186
Replace Yuqiu Zhang with:
Yuqiu Zhang China
Hongwei Xu China
Xiaoqiang Chen China
Sun Ho Kim South Korea
Jiawei Jiang China
Roberto Capata Italy
Nicole Marheineke Germany
Han Zhao China
Joseph J. Rencis United States
Haidong Liu relative to Yuqiu Zhang China Yuqiu Zhang's profile →
Citations per field
00.5×10×15×18.6×
Yuqiu Zhang · 1×
Citations per year

Countries citing papers authored by Haidong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haidong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 20241
4 20235
5 20237
6 20229
7 20223
8 20213
9 202111
10 20217
11 202115
12 20209
13 20200
14 20193
15 20181
16 20162
17 201249
18
Simulation Algorithm for Energy-Efficient Train Following Operation under Automatic-Block System
20093
19 20090
20 20004

About Haidong Liu

Haidong Liu is a scholar working on Transportation, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 46 papers that have together received 446 indexed citations. Recurring topics across this work include Heat Transfer and Boiling Studies (10 papers), Transportation Planning and Optimization (9 papers), Railway Systems and Energy Efficiency (9 papers), Fluid Dynamics and Mixing (8 papers), Lattice Boltzmann Simulation Studies (6 papers), Fluid Dynamics and Heat Transfer (5 papers), Traffic Prediction and Management Techniques (4 papers) and Railway Engineering and Dynamics (4 papers). The work is most often cited by research in Transportation (93 citations), Industrial and Manufacturing Engineering (104 citations) and Computational Mechanics (147 citations). Haidong Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chunyan Li, Liangwei Dong, Deqi Chen, Yong Ding, Prabhamani R. Patil, Uichiro Narusawa, Yun Bai, Changming Huang, Hanzhou Liu and Baohua Mao. Their work appears in journals such as International Journal of Heat and Mass Transfer, Applied Thermal Engineering, Journal of Quantitative Spectroscopy and Radiative Transfer, International Journal of Thermal Sciences and Nuclear Engineering and Design.

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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