Xiaofan Lin

1.8k citations
48 papers · 1.0k · h-index 14

Impact in

    • Handwritten Text Recognition Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Processing and 3D Reconstruction
    • Advanced Neural Network Applications
    • Natural Language Processing Techniques

Papers in

Xiaofan Lin

45 papers receiving 947 citations

Peers

Xiaofan Lin
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 633
  • Artificial Intelligence 409
  • Signal Processing 118
  • Media Technology 88
  • Experimental and Cognitive Psychology 113
Replace Gwo‐Jong Yu with:
Gwo‐Jong Yu Taiwan
John Juyang Weng United States
Daniel Keren Israel
Yuchi Huang United States
Vidit Jain United States
Hung-Hsu Tsai Taiwan
Ilya Makarov Russia
Hiroshi Shimodaira Japan
Akinori Fujino Japan
Xiaofan Lin relative to Gwo‐Jong Yu Taiwan Gwo‐Jong Yu's profile →
Citations per field
00.5×2×3×4.3×
Gwo‐Jong Yu · 1×
Citations per year

Countries citing papers authored by Xiaofan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaofan Lin Line = papers co-authored together Xiaofan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005211
2 2003149
3
Towards Accurate Binary Convolutional Neural Network
2017137
4 200390
5 199859
6 201134
7 200525
8 201324
9 201122
10 201117
11 200617
12 201216
13 200415
14 200715
15 200514
16 201514
17 200513
18 200113
19 200313
20 200911

About Xiaofan Lin

Xiaofan Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Signal Processing, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (11 papers), Web Data Mining and Analysis (8 papers), Mathematics, Computing, and Information Processing (7 papers), Algorithms and Data Compression (7 papers), Video Analysis and Summarization (6 papers), Neural Networks and Applications (5 papers) and Image Processing and 3D Reconstruction (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (633 citations), Artificial Intelligence (409 citations), Signal Processing (118 citations), Media Technology (88 citations) and Experimental and Cognitive Psychology (113 citations). Xiaofan Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sherif Yacoub, John A. Burns, Cong Zhao, Wei Li Pan, Steven J. Simske, Steve Simske, Zhi Tang, Liangcai Gao, Xiaoyan Lin and Yan Q. Xiong. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters, Neurocomputing, Signal Processing and Applied Soft Computing.

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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