Ruibin Bai

3.5k total citations
128 papers, 2.2k citations indexed

About

Ruibin Bai is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruibin Bai has authored 128 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Industrial and Manufacturing Engineering, 32 papers in Artificial Intelligence and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruibin Bai's work include Vehicle Routing Optimization Methods (32 papers), Transportation Planning and Optimization (16 papers) and Maritime Ports and Logistics (14 papers). Ruibin Bai is often cited by papers focused on Vehicle Routing Optimization Methods (32 papers), Transportation Planning and Optimization (16 papers) and Maritime Ports and Logistics (14 papers). Ruibin Bai collaborates with scholars based in China, United Kingdom and Malaysia. Ruibin Bai's co-authors include Graham Kendall, Rong Qu, Xiang Li, Jon McKechnie, Edmund Burke, Alain Yee‐Loong Chong, Nachiappan Subramanian, Jingpeng Li, Barry McCollum and Jianfeng Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ruibin Bai

117 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruibin Bai China 26 731 432 316 248 237 128 2.2k
Chi-Guhn Lee Canada 26 468 0.6× 273 0.6× 316 1.0× 166 0.7× 198 0.8× 87 2.2k
Shuo‐Yan Chou Taiwan 27 652 0.9× 261 0.6× 876 2.8× 419 1.7× 278 1.2× 122 2.9k
Xavier Gandibleux France 20 918 1.3× 426 1.0× 362 1.1× 117 0.5× 138 0.6× 42 2.2k
Xiaoge Zhang China 29 327 0.4× 438 1.0× 365 1.2× 135 0.5× 161 0.7× 106 2.9k
Mark H. Karwan United States 27 981 1.3× 179 0.4× 511 1.6× 178 0.7× 209 0.9× 112 2.8k
Iraj Mahdavi Iran 32 1.6k 2.3× 306 0.7× 568 1.8× 283 1.1× 167 0.7× 162 3.0k
Fugee Tsung Hong Kong 42 1.0k 1.4× 558 1.3× 561 1.8× 111 0.4× 264 1.1× 218 5.7k
Athanasios Migdalas Sweden 22 537 0.7× 273 0.6× 148 0.5× 178 0.7× 175 0.7× 76 1.5k
Dingwei Wang China 28 823 1.1× 562 1.3× 565 1.8× 141 0.6× 62 0.3× 204 2.7k
Justo Puerto Spain 32 1.4k 1.9× 189 0.4× 901 2.9× 414 1.7× 136 0.6× 217 3.3k

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-authorship network of co-authors of Ruibin Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ruibin Bai. A scholar is included among the top collaborators of Ruibin Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruibin Bai. Ruibin Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Gu, Zhijie, et al.. (2025). An effective combination of mechanisms for particle swarm optimization-based ensemble strategy. Swarm and Evolutionary Computation. 99. 102154–102154.
3.
Wang, G. Gary, et al.. (2025). A particle swarm optimization-based ensemble metaheuristic for long-term transmission network expansion planning. Applied Soft Computing. 179. 113282–113282. 1 indexed citations
4.
He, Wentao, Jianfeng Ren, Ruibin Bai, & Xudong Jiang. (2024). Hierarchical Perceptual and Predictive Analogy-Inference Network for Abstract Visual Reasoning. 4841–4850. 1 indexed citations
5.
6.
He, Wentao, Jianfeng Ren, Ruibin Bai, & Xudong Jiang. (2024). Radar gait recognition using Dual-branch Swin Transformer with Asymmetric Attention Fusion. Pattern Recognition. 159. 111101–111101. 2 indexed citations
7.
Lu, Zheng, et al.. (2024). Medical chief complaint classification with hierarchical structure of label descriptions. Expert Systems with Applications. 252. 123938–123938. 1 indexed citations
8.
Zhang, Yinglin, Heng Li, Dave Towey, et al.. (2024). Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(3). 2297–2309. 4 indexed citations
9.
Li, Cheng, et al.. (2023). Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning. Computers and Electronics in Agriculture. 215. 108371–108371. 18 indexed citations
10.
Zhang, Yinglin, Lingxi Zeng, Dave Towey, et al.. (2023). Structural Priors Guided Network for the Corneal Endothelial Cell Segmentation. IEEE Transactions on Medical Imaging. 43(1). 309–320. 3 indexed citations
11.
Ren, Jianfeng, et al.. (2023). Mask Attack Detection Using Vascular-Weighted Motion-Robust rPPG Signals. IEEE Transactions on Information Forensics and Security. 18. 4313–4328. 9 indexed citations
12.
He, Wentao, Jianfeng Ren, & Ruibin Bai. (2023). Data augmentation by morphological mixup for solving Raven’s progressive matrices. The Visual Computer. 40(4). 2457–2470. 2 indexed citations
13.
He, Wentao, et al.. (2023). Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 22–30. 13 indexed citations
14.
Ren, Jianfeng, et al.. (2023). A semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive Bayes. Expert Systems with Applications. 225. 120094–120094. 13 indexed citations
15.
Ren, Jianfeng, et al.. (2023). Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2303–2311. 13 indexed citations
16.
Ren, Jianfeng, et al.. (2022). Cross-document attention-based gated fusion network for automated medical licensing exam. Expert Systems with Applications. 205. 117588–117588. 9 indexed citations
17.
Bai, Ruibin, et al.. (2021). A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties. European Journal of Operational Research. 300(2). 418–427. 87 indexed citations
18.
Xue, Ning, Ruibin Bai, Rong Qu, & Uwe Aickelin. (2020). A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem. European Journal of Operational Research. 292(2). 500–514. 14 indexed citations
19.
Ren, Jianfeng, et al.. (2020). A Regularized Attribute Weighting Framework for Naive Bayes. IEEE Access. 8. 225639–225649. 16 indexed citations
20.
Zhao, Dongsheng, Gethin Wyn Roberts, Lawrence Lau, Craig Hancock, & Ruibin Bai. (2016). A Theoretical and Empirical Integrated Method to Select the Optimal Combined Signals for Geometry-Free and Geometry-Based Three-Carrier Ambiguity Resolution. Sensors. 16(11). 1929–1929. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chi-Guhn Lee Breakdown of academic impact, for papers by Shuo‐Yan Chou Breakdown of academic impact, for papers by Xavier Gandibleux Breakdown of academic impact, for papers by Xiaoge Zhang Breakdown of academic impact, for papers by Mark H. Karwan Breakdown of academic impact, for papers by Iraj Mahdavi Breakdown of academic impact, for papers by Fugee Tsung Breakdown of academic impact, for papers by Athanasios Migdalas Breakdown of academic impact, for papers by Dingwei Wang Breakdown of academic impact, for papers by Justo Puerto
Rankless by CCL
2026