Lingling Fang

91 total papers · 683 total citations
65 papers, 497 citations indexed

About

Lingling Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Lingling Fang has authored 65 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Lingling Fang's work include Medical Image Segmentation Techniques (25 papers), Advanced Image Fusion Techniques (14 papers) and Brain Tumor Detection and Classification (11 papers). Lingling Fang is often cited by papers focused on Medical Image Segmentation Techniques (25 papers), Advanced Image Fusion Techniques (14 papers) and Brain Tumor Detection and Classification (11 papers). Lingling Fang collaborates with scholars based in China. Lingling Fang's co-authors include Xianghai Wang, Tianshuang Qiu, Xin Wang, Wei Hu, Qinghua Zhou, Huili Li, Ming Wang, Hongyang Zhao, Lirong Zhang and Xin Wang and has published in prestigious journals such as Expert Systems with Applications, Sensors and Pattern Recognition.

In The Last Decade

Lingling Fang

55 papers receiving 475 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lingling Fang 256 126 122 102 82 65 497
Vibhav Prakash Singh 204 0.8× 197 1.6× 95 0.8× 57 0.6× 65 0.8× 55 499
Madhuri S. Joshi 145 0.6× 98 0.8× 64 0.5× 18 0.2× 36 0.4× 33 449
Rekha R Nair 156 0.6× 137 1.1× 97 0.8× 103 1.0× 61 0.7× 89 490
M. Alper Selver 230 0.9× 91 0.7× 116 1.0× 66 0.6× 19 0.2× 64 473
Mehdi Jafari Shahbazzadeh 182 0.7× 310 2.5× 191 1.6× 38 0.4× 91 1.1× 38 576
Xinyu Zhou 205 0.8× 200 1.6× 51 0.4× 51 0.5× 81 1.0× 45 527
N. Venkateswaran 155 0.6× 64 0.5× 62 0.5× 84 0.8× 7 0.1× 88 602
Kahlil Muchtar 303 1.2× 131 1.0× 185 1.5× 59 0.6× 21 0.3× 60 579
Shaveta Arora 288 1.1× 105 0.8× 110 0.9× 118 1.2× 50 0.6× 30 455
Hidekata Hontani 288 1.1× 166 1.3× 179 1.5× 49 0.5× 31 0.4× 61 556

Countries citing papers authored by Lingling Fang

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Fang

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

All Works

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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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