Xiaofan Lin

1.8k citations
42 papers · 823 · h-index 13

Impact in

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

Papers in

Xiaofan Lin

41 papers receiving 768 citations

Peers

Xiaofan Lin
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 533
  • Artificial Intelligence 334
  • Signal Processing 96
  • Media Technology 75
  • Experimental and Cognitive Psychology 79
Replace Gwo‐Jong Yu with:
Gwo‐Jong Yu Taiwan
Samir Datta India
Daniel Keren Israel
Lihua Yue China
Yuchi Huang United States
Sartra Wongthanavasu Thailand
P.W. Grant United Kingdom
Vidit Jain United States
Liang Huang China
Xiaofan Lin relative to Gwo‐Jong Yu Taiwan Gwo‐Jong Yu's profile →
Citations per field
00.5×4.6×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005170
2
Towards Accurate Binary Convolutional Neural Network
2017123
3 2003105
4 200377
5 199852
6 201128
7 200520
8 201319
9 201119
10 201215
11 201115
12 200614
13 201513
14 200512
15 200311
16 200611
17 200411
18 200511
19 200910
20 200710

About Xiaofan Lin

Xiaofan Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 42 papers that have together received 823 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (15 papers), Image Retrieval and Classification Techniques (9 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), Image Processing and 3D Reconstruction (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (533 citations), Artificial Intelligence (334 citations), Signal Processing (96 citations), Media Technology (75 citations) and Experimental and Cognitive Psychology (79 citations). Xiaofan Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sherif Yacoub, John A. Burns, Wei Pan, Cong Zhao, Steven J. Simske, Steve Simske, Zhi Tang, Liangcai Gao, Xiaoyan Lin and Gang Wei. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters, Signal Processing, Computer-Aided Design 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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