Haiting Lin

530 citations
17 papers · 401 · h-index 8

Impact in

Papers in

Haiting Lin

15 papers receiving 391 citations

Peers

Haiting Lin
Comparison fields: 5 of 48
  • Media Technology 135
  • Computer Vision and Pattern Recognition 316
  • Computer Graphics and Computer-Aided Design 29
  • Catalysis 26
  • Renewable Energy, Sustainability and the Environment 48
Replace Zipeng Qi with:
Zipeng Qi China
Jihong Dong China
Xinyang Pu China
Fangyuan Kong China
Yaoheng Su China
Ching-Hung Chang Taiwan
Shenghua Cheng China
Gabriel Ramos‐Llordén United States
Haiting Lin relative to Zipeng Qi China Zipeng Qi's profile →
Citations per field
00.5×10×20×31×
Zipeng Qi · 1×
Citations per year

Countries citing papers authored by Haiting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haiting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haiting 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 Haiting Lin Line = papers co-authored together Haiting Lin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2015104
2 2014103
3 202457
4 201542
5 201130
6 201619
7 202412
8 20178
9 20156
10 20245
11 20214
12 20154
13 20154
14 20162
15 20151
16 20240
17 20200

About Haiting Lin

Haiting Lin is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Catalysis, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 17 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Image Enhancement Techniques (5 papers), Image Processing Techniques and Applications (4 papers), Optical measurement and interference techniques (3 papers), Face recognition and analysis (3 papers), Advanced Photocatalysis Techniques (2 papers), Catalysis and Oxidation Reactions (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Media Technology (135 citations), Computer Vision and Pattern Recognition (316 citations), Computer Graphics and Computer-Aided Design (29 citations), Catalysis (26 citations) and Renewable Energy, Sustainability and the Environment (48 citations). Haiting Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jingyi Yu, Sing Bing Kang, Zhan Yu, Can Chen, Can Chen, Sabine Süsstrunk, Michael S. Brown, Seon Joo Kim, Dongxue Han and Li Niu. Their work appears in journals such as Solar RRL, Chemical Engineering Journal, Renal Failure, Applied Optics and Journal of Tissue Engineering and Regenerative Medicine.

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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