Xiang Bai

3.6k total citations · 3 hit papers
26 papers, 2.3k citations indexed

About

Xiang Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Fuel Technology. According to data from OpenAlex, Xiang Bai has authored 26 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Fuel Technology. Recurrent topics in Xiang Bai's work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Neural Network Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). Xiang Bai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Advanced Neural Network Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). Xiang Bai collaborates with scholars based in China, United States and Singapore. Xiang Bai's co-authors include Xinggang Wang, Xiaowei Hu, Yun Liu, Ming‐Ming Cheng, Wenyu Liu, Peng Tang, Wei Shen, Kai Wang, Jia-Wang Bian and Jinhui Tang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Fuel.

In The Last Decade

Xiang Bai

25 papers receiving 2.2k citations

Hit Papers

Richer Convolutional Features for Edge Detection 2015 2026 2018 2022 2017 2018 2015 100 200 300 400 500

Peers

Xiang Bai
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 1.7k
  • Media Technology 478
  • Artificial Intelligence 445
  • Aerospace Engineering 175
  • Industrial and Manufacturing Engineering 172
Replace Masood Dehghan with:
Masood Dehghan Singapore
Chenyang Huang Canada
Jingbo Wang China
Xiaowei Hu China
Changqian Yu China
Jiachen Lu China
Sixiao Zheng China
Peize Sun Hong Kong
Zhenda Xie China
Masood Dehghan Singapore View profile →
Citations per field, relative to Xiang Bai
Xiang Bai · 1×
Citations per year, relative to Xiang Bai
Xiang Bai · 1×

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
# Work Indexed citations
1 3
2 3
3 1
4 8
5 12
6 8
7
Richer Convolutional Features for Edge Detection breakdown →
498
8 289
9 113
10 2
11 308
12 29
13 9
14
Richer Convolutional Features for Edge Detection breakdown →
543
15
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection breakdown →
351
16 8
17 1
18 1
19 3
20 1

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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