Bin Hu

78 papers receiving 943 citations

Peers

Bin Hu
Comparison fields: 5 of 94
  • Transportation 217
  • Industrial and Manufacturing Engineering 278
  • Ocean Engineering 236
  • Automotive Engineering 161
  • Building and Construction 156
Replace Di Yuan with:
Di Yuan Sweden
Zhe Xiao China
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Bin Hu relative to Di Yuan Sweden Di Yuan's profile →
Citations per field
00.5×1.5×2.2×
Di Yuan · 1×
Citations per year

Countries citing papers authored by Bin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 201081
3 201472
4 201753
5 201850
6 201649
7 200541
8
Relevant qualitative and quantitative choices for building an efficient dynamic plant growth model : GreenLab case
200336
9 199830
10 201529
11 202129
12 201028
13 200728
14 200923
15 201823
16 201720
17 201017
18 201516
19 200116
20
Variable Neighborhood Descent with Self-Adaptive Neighborhood-Ordering
200616

About Bin Hu

Bin Hu is a scholar working on Industrial and Manufacturing Engineering, Ocean Engineering, Electrical and Electronic Engineering, Automotive Engineering and Artificial Intelligence, having authored 86 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (16 papers), Transportation and Mobility Innovations (12 papers), Reservoir Engineering and Simulation Methods (8 papers), Transportation Planning and Optimization (8 papers), Facility Location and Emergency Management (7 papers), Cloud Computing and Resource Management (6 papers), Distributed and Parallel Computing Systems (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Transportation (217 citations), Industrial and Manufacturing Engineering (278 citations), Ocean Engineering (236 citations), Automotive Engineering (161 citations) and Building and Construction (156 citations). Bin Hu has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Günther R. Raidl, W. Schiferli, Huijun Sun, Xiaoning Zhu, Liujiang Kang, Philippe De Reffye, Jianjun Wu, Ziyou Gao, Markus Leitner and Petrina Papazek. Their work appears in journals such as Journal of Heuristics, Energies, Discrete and Continuous Dynamical Systems - B, Applied Sciences and International journal of agricultural and biological 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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