Ruibin Bai

3.6k citations
140 papers · 2.7k · h-index 29

Impact in

Papers in

Ruibin Bai

130 papers receiving 2.6k citations

Peers

Ruibin Bai
Comparison fields: 5 of 152
  • Industrial and Manufacturing Engineering 879
  • Transportation 235
  • Management Science and Operations Research 392
  • Management Information Systems 251
  • Automotive Engineering 256
Replace Shuo‐Yan Chou with:
Shuo‐Yan Chou Taiwan
Athanasios Migdalas Sweden
Iraj Mahdavi Iran
Habib Chabchoub Tunisia
Ivana Ljubić Austria
Feifeng Zheng China
Chen Yang China
Mark H. Karwan United States
Saeed Zolfaghari Canada
Alper Murat United States
Ruibin Bai relative to Shuo‐Yan Chou Taiwan Shuo‐Yan Chou's profile →
Citations per field
00.5×1.5×1.9×
Shuo‐Yan Chou · 1×
Citations per year

Countries citing papers authored by Ruibin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ruibin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016199
2 2018128
3 2014106
4 2021100
5 200794
6 200579
7 202179
8 201379
9 201077
10 201173
11 201470
12 201563
13 201660
14 200760
15 201647
16 201445
17 202144
18 201341
19 201441
20 201240

About Ruibin Bai

Ruibin Bai is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Building and Construction and Transportation, having authored 140 papers that have together received 2.7k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (35 papers), Transportation Planning and Optimization (17 papers), Maritime Ports and Logistics (14 papers), Optimization and Packing Problems (13 papers), Transportation and Mobility Innovations (12 papers), Urban and Freight Transport Logistics (11 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Topic Modeling (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (879 citations), Transportation (235 citations), Management Science and Operations Research (392 citations), Management Information Systems (251 citations) and Automotive Engineering (256 citations). Ruibin Bai has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Graham Kendall, Rong Qu, Xiang Li, Edmund Burke, Jon McKechnie, Alain Yee‐Loong Chong, Shi Cheng, Jingpeng Li, Nachiappan Subramanian and Barry McCollum. Their work appears in journals such as Expert Systems with Applications, European Journal of Operational Research, Pattern Recognition, Journal of the Operational Research Society and IEEE Transactions on Evolutionary Computation.

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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