Xiao Bai

7.3k total citations · 4 hit papers
161 papers, 4.9k citations indexed

About

Xiao Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiao Bai has authored 161 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 39 papers in Media Technology. Recurrent topics in Xiao Bai's work include Advanced Image and Video Retrieval Techniques (46 papers), Remote-Sensing Image Classification (31 papers) and Image Retrieval and Classification Techniques (25 papers). Xiao Bai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (46 papers), Remote-Sensing Image Classification (31 papers) and Image Retrieval and Classification Techniques (25 papers). Xiao Bai collaborates with scholars based in China, Australia and United Kingdom. Xiao Bai's co-authors include Jun Zhou, Xin Ning, Edwin R. Hancock, Xianglong Liu, Chen Wang, Weijun Li, Jingkuan Song, Nicu Sebe, Guansong Pang and Yan Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Xiao Bai

151 papers receiving 4.8k citations

Hit Papers

Binary neural networks: A survey 2020 2026 2022 2024 2020 2021 2023 2023 100 200 300

Peers

Xiao Bai
Comparison fields: 5 of 160
  • Computer Vision and Pattern Recognition 2.9k
  • Artificial Intelligence 1.5k
  • Media Technology 973
  • Aerospace Engineering 455
  • Computational Mechanics 363
Replace Qiguang Miao with:
Qiguang Miao China
Ronghua Shang China
Baochang Zhang China
Min Wang China
Jun Guo China
Zongben Xu China
Hao Li China
Chao Xu China
Yiu‐ming Cheung Hong Kong
Qiguang Miao China View profile →
Citations per field, relative to Xiao Bai
Xiao Bai · 1×
Citations per year, relative to Xiao Bai
Xiao Bai · 1×

Countries citing papers authored by Xiao Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Bai. A scholar is included among the top collaborators of Xiao 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 Xiao Bai. Xiao 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
# Work Indexed citations
1 0
2 0
3 0
4 5
5 6
6 0
7 11
8 23
9 6
10 21
11 0
12 47
13 5
14
A Reinforcement Learning Paradigm of Configuring Visual Enhancement for Object Detection in Underwater Scenes breakdown →
85
15 17
16 93
17 42
18 2
19
Discriminative features matter: Multi-layer bilinear pooling for camera localization
4
20 157

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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