Lin Bai

1.5k total citations
34 papers, 1.0k citations indexed

About

Lin Bai is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Lin Bai has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 9 papers in Computational Mechanics. Recurrent topics in Lin Bai's work include Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Advanced Neural Network Applications (9 papers) and Lattice Boltzmann Simulation Studies (7 papers). Lin Bai is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Advanced Neural Network Applications (9 papers) and Lattice Boltzmann Simulation Studies (7 papers). Lin Bai collaborates with scholars based in China, United States and United Kingdom. Lin Bai's co-authors include Xinming Huang, Yuhang Fu, Yi Cheng, Yiming Zhao, Shufang Zhao, Yong Jin, Hubert Kaeslin, Yong Jin, Edward A. Clancy and Yongjie Yang and has published in prestigious journals such as Chemical Engineering Journal, IEEE Access and Chemical Engineering Science.

In The Last Decade

Lin Bai

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Bai China 18 448 309 300 259 105 34 1.0k
Shiwei Ma China 16 179 0.4× 108 0.3× 183 0.6× 231 0.9× 110 1.0× 122 1.0k
Wei-Fan Hu Taiwan 12 124 0.3× 138 0.4× 253 0.8× 228 0.9× 64 0.6× 23 686
Bo Li China 19 297 0.7× 447 1.4× 151 0.5× 182 0.7× 61 0.6× 195 1.6k
Hongzhi Zhang China 23 264 0.6× 152 0.5× 1.0k 3.4× 181 0.7× 242 2.3× 100 1.9k
Jinchun Hu China 18 126 0.3× 243 0.8× 150 0.5× 203 0.8× 84 0.8× 84 960
Wentao Liu China 18 166 0.4× 116 0.4× 438 1.5× 78 0.3× 180 1.7× 92 1.0k
Chong Li China 16 247 0.6× 399 1.3× 70 0.2× 20 0.1× 114 1.1× 91 1.0k
Jianwei Guo China 19 51 0.1× 113 0.4× 337 1.1× 281 1.1× 27 0.3× 84 962
Yue Lang China 16 505 1.1× 96 0.3× 134 0.4× 120 0.5× 121 1.2× 48 902

Countries citing papers authored by Lin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Bai. A scholar is included among the top collaborators of Lin 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 Lin Bai. Lin 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.
Ghorbanzadeh, Omid, Yonghao Xu, Junjue Wang, et al.. (2022). The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9927–9942. 71 indexed citations
3.
Bai, Lin, Yiming Zhao, & Xinming Huang. (2022). Enabling 3-D Object Detection With a Low-Resolution LiDAR. IEEE Embedded Systems Letters. 14(4). 163–166. 4 indexed citations
4.
Bai, Lin, et al.. (2021). Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework. IEEE Transactions on Cybernetics. 52(8). 7441–7452. 9 indexed citations
5.
Xie, Xing, Lin Bai, & Xinming Huang. (2021). Real-Time LiDAR Point Cloud Semantic Segmentation for Autonomous Driving. Electronics. 11(1). 11–11. 22 indexed citations
6.
Wang, Hao, et al.. (2019). Suzuki-Miyura cross-coupling reaction in droplet-based microreactor. Chemical Engineering Science. 207. 352–357. 15 indexed citations
7.
Bai, Lin, et al.. (2019). Road Segmentation using CNN and Distributed LSTM. 51 indexed citations
8.
Zhao, Liang, Jin Xie, Lin Bai, et al.. (2018). Mining statistically-solid k-mers for accurate NGS error correction. BMC Genomics. 19(S10). 912–912. 13 indexed citations
9.
Fu, Yuhang, Lin Bai, Shufang Zhao, et al.. (2018). Simulation of reactive mixing behaviors inside micro-droplets by a lattice Boltzmann method. Chemical Engineering Science. 181. 79–89. 29 indexed citations
10.
Fu, Yuhang, Hao Wang, Xiong Zhang, et al.. (2018). Numerical simulation of liquid mixing inside soft droplets with periodic deformation by a lattice Boltzmann method. Journal of the Taiwan Institute of Chemical Engineers. 98. 37–44. 20 indexed citations
11.
Fu, Yuhang, Lin Bai, Kai Luo, Yong Jin, & Yi Cheng. (2017). Modeling mass transfer and reaction of dilute solutes in a ternary phase system by the lattice Boltzmann method. Physical review. E. 95(4). 43304–43304. 19 indexed citations
12.
Fu, Yuhang, Lin Bai, Kexin Bi, et al.. (2017). Numerical study of Janus droplet formation in microchannels by a lattice Boltzmann method. Chemical Engineering and Processing - Process Intensification. 119. 34–43. 19 indexed citations
13.
Bai, Lin, Yuhang Fu, Meng Yao, & Yi Cheng. (2017). Enhancement of mixing inside ionic liquid droplets through various micro-channels design. Chemical Engineering Journal. 332. 537–547. 32 indexed citations
14.
Fu, Yuhang, Lin Bai, Yong Jin, & Yi Cheng. (2017). Theoretical analysis and simulation of obstructed breakup of micro-droplet in T-junction under an asymmetric pressure difference. Physics of Fluids. 29(3). 35 indexed citations
15.
Bai, Lin, Shufang Zhao, Yuhang Fu, & Yi Cheng. (2016). Experimental study of mass transfer in water/ionic liquid microdroplet systems using micro-LIF technique. Chemical Engineering Journal. 298. 281–290. 67 indexed citations
16.
Bai, Lin, Yuhang Fu, Shufang Zhao, & Yi Cheng. (2016). Droplet formation in a microfluidic T-junction involving highly viscous fluid systems. Chemical Engineering Science. 145. 141–148. 74 indexed citations
17.
Fu, Yuhang, Lin Bai, Shufang Zhao, et al.. (2016). Droplet in droplet: LBM simulation of modulated liquid mixing. Chemical Engineering Science. 155. 428–437. 17 indexed citations
18.
Bai, Lin & Kan Li. (2015). Predicting image caption by a unified hierarchical model. 2. 1–6. 3 indexed citations
19.
Bai, Lin, et al.. (2015). Main objects interaction activity recognition in real images. Neural Computing and Applications. 27(2). 335–348. 11 indexed citations
20.
He, Mingyi, Weihua Liu, & Lin Bai. (2010). Remote sensing image restoration based on compressive sensing and two-step iteration shrinkage algorithm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7810. 78100E–78100E. 1 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.

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