Dazhen Lin

732 total citations · 1 hit paper
37 papers, 422 citations indexed

About

Dazhen Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dazhen Lin has authored 37 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Dazhen Lin's work include Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (9 papers) and Topic Modeling (6 papers). Dazhen Lin is often cited by papers focused on Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (9 papers) and Topic Modeling (6 papers). Dazhen Lin collaborates with scholars based in China, Italy and United Kingdom. Dazhen Lin's co-authors include Donglin Cao, Shaozi Li, Rongrong Ji, Zhiming Luo, Yanping Lv, Sheng Lian, Min Jiang, Fan Lin, Xiangyan Chen and Ben Ma and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Dazhen Lin

34 papers receiving 403 citations

Hit Papers

Mutual learning with reliable pseudo label for semi-super... 2024 2026 2025 2024 10 20 30 40 50

Peers

Dazhen Lin
Comparison fields: 5 of 82
  • Artificial Intelligence 219
  • Computer Vision and Pattern Recognition 164
  • Information Systems 68
  • Sociology and Political Science 61
  • Statistical and Nonlinear Physics 45
Replace Amit Agarwal with:
Amit Agarwal India
Chengcheng Li United States
Chenyi Zhuang Japan
Sraban Kumar Mohanty India
S. Chitrakala India
Chengyue Gong United States
R. Rajeswara Rao India
Ruijie Wang China
Alessandro Renda Italy
Mansur Alp Toçoğlu Türkiye
Amit Agarwal India View profile →
Citations per field, relative to Dazhen Lin
Dazhen Lin · 1×
Citations per year, relative to Dazhen Lin
Dazhen Lin · 1×

Countries citing papers authored by Dazhen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dazhen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dazhen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dazhen Lin. A scholar is included among the top collaborators of Dazhen Lin 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 Dazhen Lin. Dazhen Lin 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 1
3 0
4 5
5 2
6
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation breakdown →
57
7 1
8 1
9 6
10 4
11 28
12 4
13 19
14 7
15 13
16 0
17 3
18 35
19 11
20
A Survey of Text Information Retrieval Model
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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