Xiang Bai

38.8k total citations · 16 hit papers
260 papers, 18.0k citations indexed

About

Xiang Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiang Bai has authored 260 papers receiving a total of 18.0k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 23 papers in Media Technology. Recurrent topics in Xiang Bai's work include Advanced Image and Video Retrieval Techniques (85 papers), Handwritten Text Recognition Techniques (67 papers) and Image Retrieval and Classification Techniques (63 papers). Xiang Bai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (85 papers), Handwritten Text Recognition Techniques (67 papers) and Image Retrieval and Classification Techniques (63 papers). Xiang Bai collaborates with scholars based in China, United States and United Kingdom. Xiang Bai's co-authors include Cong Yao, Baoguang Shi, Wenyu Liu, Song Bai, Xinggang Wang, Minghui Liao, Longin Jan Latecki, Zhen Zhu, Gui-Song Xia and Liangpei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Xiang Bai

245 papers receiving 17.5k citations

Hit Papers

DOTA: A Large-Scale Dataset for Object Detection in Aeria... 2016 2026 2019 2022 2018 2016 2020 2018 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Bai China 65 15.0k 4.7k 3.3k 1.8k 984 260 18.0k
Stefan Roth Germany 43 14.1k 0.9× 2.4k 0.5× 3.7k 1.1× 1.8k 1.0× 711 0.7× 106 16.9k
Haibin Ling United States 69 17.3k 1.2× 2.9k 0.6× 2.5k 0.8× 2.9k 1.6× 677 0.7× 327 21.1k
Ming‐Ming Cheng China 73 24.3k 1.6× 4.3k 0.9× 4.4k 1.3× 3.0k 1.7× 500 0.5× 214 30.2k
Philip H. S. Torr United Kingdom 57 17.1k 1.1× 2.0k 0.4× 4.0k 1.2× 3.5k 2.0× 1.2k 1.2× 183 21.9k
Pedro F. Felzenszwalb United States 25 15.5k 1.0× 2.0k 0.4× 3.0k 0.9× 2.3k 1.3× 422 0.4× 39 17.9k
Carsten Rother United Kingdom 60 13.7k 0.9× 2.0k 0.4× 1.7k 0.5× 2.5k 1.4× 825 0.8× 141 16.5k
Jungong Han China 59 11.0k 0.7× 2.5k 0.5× 3.9k 1.2× 1.4k 0.8× 350 0.4× 357 15.0k
Qi Tian China 64 15.6k 1.0× 1.8k 0.4× 6.3k 1.9× 1.9k 1.1× 656 0.7× 432 21.3k
Yanning Zhang China 59 7.0k 0.5× 3.5k 0.7× 2.5k 0.7× 1.3k 0.7× 496 0.5× 694 13.7k
Jiashi Feng Singapore 75 18.0k 1.2× 3.1k 0.7× 7.7k 2.3× 1.6k 0.9× 1.8k 1.8× 278 26.0k

Countries citing papers authored by Xiang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Bai. A scholar is included among the top collaborators of Xiang 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 Xiang Bai. Xiang 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.
Zhu, Xingkui, et al.. (2025). Layerlink: Bridging remote sensing object detection and large vision models with efficient fine-tuning. Pattern Recognition. 165. 111583–111583. 1 indexed citations
3.
Wang, Aili, et al.. (2024). A one-stop integrated natural antimicrobial microneedles with anti-inflammatory, pro-angiogenic and long-term moisturizing properties to accelerate diabetic wound healing. European Journal of Pharmaceutics and Biopharmaceutics. 203. 114448–114448. 6 indexed citations
4.
Yang, Mingkun, et al.. (2024). Sequential visual and semantic consistency for semi-supervised text recognition. Pattern Recognition Letters. 178. 174–180. 2 indexed citations
5.
Xu, Hao, et al.. (2024). Molecular dynamics simulation of the effects of base oils in barium-based greases on tribological properties based on IR and GC/MS data. Surfaces and Interfaces. 48. 104236–104236. 1 indexed citations
6.
Bai, Xiang, et al.. (2024). In-situ evaluation of volatile products released during pyrolysis of coals with different ranks. Journal of the Energy Institute. 115. 101660–101660. 12 indexed citations
7.
Xu, Yangyang, Zhenghong Li, Wei Wang, et al.. (2024). Study on the effects of aging on the pyrolysis of plastic and the synergistic mechanisms of co-pyrolysis with lignite. Journal of the Energy Institute. 118. 101886–101886.
8.
Liu, Yuliang, Zhang Li, Mingxin Huang, et al.. (2024). OCRBench: on the hidden mystery of OCR in large multimodal models. Science China Information Sciences. 67(12). 23 indexed citations
9.
Zhu, Yingying, et al.. (2024). Enhancing scene text detectors with realistic text image synthesis using diffusion models. Computer Vision and Image Understanding. 250. 104224–104224.
10.
Xu, Yangyang, Xing Fan, Feng‐Yun Ma, et al.. (2023). Molecular and geochemical characteristics of lignite in different plant sources evaluated using unsupervised analyses. Fuel. 357. 129850–129850. 3 indexed citations
11.
Wu, Weijia, et al.. (2023). DSText V2: A comprehensive video text spotting dataset for dense and small text. Pattern Recognition. 149. 110177–110177. 5 indexed citations
12.
Wu, Dong, Manwen Liao, Weitian Zhang, et al.. (2023). Correction to: YOLOP: You Only Look Once for Panoptic Driving Perception. 20(6). 952–952. 3 indexed citations
13.
Wang, Fei, Jianfeng Yi, Yu Chen, et al.. (2023). PRSS2 regulates EMT and metastasis via MMP-9 in gastric cancer. Acta Histochemica. 125(6). 152071–152071. 5 indexed citations
14.
Yang, Mingkun, et al.. (2023). Class-Aware Mask-guided feature refinement for scene text recognition. Pattern Recognition. 149. 110244–110244. 10 indexed citations
15.
Bai, Xiang, Jing-Hui Lv, Qianqian Kong, et al.. (2023). Ceria supported nickel nanoparticles for catalytic hydroconversion of lignin-related model compounds. Journal of Solid State Chemistry. 328. 124351–124351. 3 indexed citations
16.
Liu, Xiaolong, Song Bai, & Xiang Bai. (2022). An Empirical Study of End-to-End Temporal Action Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19978–19987. 42 indexed citations
17.
Liao, Minghui, et al.. (2022). Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(1). 919–931. 181 indexed citations breakdown →
18.
Xu, Mengde, Zheng Zhang, Han Hu, et al.. (2021). End-to-End Semi-Supervised Object Detection with Soft Teacher. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3040–3049. 321 indexed citations breakdown →
19.
Xu, Yongchao, Qimeng Wang, Yukang Wang, et al.. (2020). Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(4). 1452–1459. 658 indexed citations breakdown →
20.
Xia, Gui-Song, Xiang Bai, Jian Ding, et al.. (2018). DOTA: A Large-Scale Dataset for Object Detection in Aerial Images. elib (German Aerospace Center). 3974–3983. 2094 indexed citations breakdown →

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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