Da-Han Wang

1.2k total citations
18 papers, 768 citations indexed

About

Da-Han Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Da-Han Wang has authored 18 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Da-Han Wang's work include Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (8 papers) and Text and Document Classification Technologies (7 papers). Da-Han Wang is often cited by papers focused on Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (8 papers) and Text and Document Classification Technologies (7 papers). Da-Han Wang collaborates with scholars based in China, Switzerland and Japan. Da-Han Wang's co-authors include Cheng‐Lin Liu, Qiufeng Wang, Fei Yin, Xiangdong Zhou, Heng Zhang, Linlin Huang, Heng Zhang, Horst Bunke, Xuguang Chi and Jing Li and has published in prestigious journals such as Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR) and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Da-Han Wang

16 papers receiving 749 citations

Peers

Da-Han Wang
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 716
  • Artificial Intelligence 282
  • Media Technology 209
  • Human-Computer Interaction 77
  • Signal Processing 43
Replace Fatoş T. Yarman-Vural with:
Fatoş T. Yarman-Vural Türkiye
S. Manke United States
Tetsushi Wakabayashi Japan
Mohammad Tanvir Parvez Saudi Arabia
Trung Quy Phan Singapore
Issam Bazzi United States
Théodore Bluche France
Zenghui Sun China
A. P. SHIVAPRASAD India
Stefan Eickeler Germany
Fatoş T. Yarman-Vural Türkiye View profile →
Citations per field, relative to Da-Han Wang
Da-Han Wang · 1×
Citations per year, relative to Da-Han Wang
Da-Han Wang · 1×

Countries citing papers authored by Da-Han Wang

Since Specialization
Citations

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

Fields of papers citing papers by Da-Han Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Han Wang. 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 Da-Han Wang. The network helps show where Da-Han Wang may publish in the future.

Co-authorship network of co-authors of Da-Han Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Da-Han Wang. A scholar is included among the top collaborators of Da-Han Wang 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 Da-Han Wang. Da-Han Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 3
5 10
6 8
7 215
8
String-level learning of confidence transformation for Chinese handwritten text recognition
2
9 42
10 2
11 315
12 4
13 56
14 13
15 30
16 32
17 27
18 5

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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