Jing Bai

3.6k total citations · 1 hit paper
112 papers, 2.0k citations indexed

About

Jing Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jing Bai has authored 112 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 21 papers in Information Systems. Recurrent topics in Jing Bai's work include Topic Modeling (25 papers), 3D Shape Modeling and Analysis (20 papers) and 3D Surveying and Cultural Heritage (13 papers). Jing Bai is often cited by papers focused on Topic Modeling (25 papers), 3D Shape Modeling and Analysis (20 papers) and 3D Surveying and Cultural Heritage (13 papers). Jing Bai collaborates with scholars based in China, United States and Canada. Jing Bai's co-authors include Jian‐Yun Nie, Guihong Cao, Yujing Wang, Shuming Gao, Yunhai Tong, Juanyong Duan, Jie Tong, Bixiong Xu, Congrui Huang and Defu Cao and has published in prestigious journals such as Scientific Reports, Annals of Oncology and IEEE Access.

In The Last Decade

Jing Bai

99 papers receiving 1.9k citations

Hit Papers

Multivariate Time-Series Anomaly Detection via Graph Atte... 2020 2026 2022 2024 2020 100 200 300

Peers

Jing Bai
Comparison fields: 5 of 121
  • Artificial Intelligence 1.0k
  • Information Systems 479
  • Computer Vision and Pattern Recognition 411
  • Signal Processing 314
  • Industrial and Manufacturing Engineering 295
Replace Sebti Foufou with:
Sebti Foufou France
Euripides G. M. Petrakis Greece
Zoran Salčić New Zealand
Xinhong Hei China
Xiaokang Wang China
Longzhi Yang United Kingdom
Huanlai Xing China
Xibin Zhao China
Zhaoquan Gu China
Jeremiah D. Deng New Zealand
Sebti Foufou France View profile →
Citations per field, relative to Jing Bai
Jing Bai · 1×
Citations per year, relative to Jing Bai
Jing Bai · 1×

Countries citing papers authored by Jing Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Bai. A scholar is included among the top collaborators of Jing 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 Jing Bai. Jing 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 7
2 0
3 3
4 1
5 8
6 0
7 5
8 6
9 14
10 3
11 7
12 44
13 20
14 9
15 6
16
Domain Adaptation for Sentiment Analysis using Keywords in the Target Domain as the Learning Weight
0
17
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
3
18
On incentive classroom teaching method in view of contemporary medical students' characteristics
0
19 5
20
A Fuzzy Method for Classification of Arrhythmias
2

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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