Lifang Wang

292 total papers · 2.5k total citations
134 papers, 1.8k citations indexed

About

Lifang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Lifang Wang has authored 134 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Lifang Wang's work include Topic Modeling (15 papers), Advanced Computational Techniques and Applications (10 papers) and Natural Language Processing Techniques (10 papers). Lifang Wang is often cited by papers focused on Topic Modeling (15 papers), Advanced Computational Techniques and Applications (10 papers) and Natural Language Processing Techniques (10 papers). Lifang Wang collaborates with scholars based in China, United States and Taiwan. Lifang Wang's co-authors include Thuy Le Toan, Jin Au Kong, F. Ribbes, Nicolas Floury, Guo Ying, T. Kurosu, Masahiro Fujita, Kung‐Hau Ding, Qian Yang and Yongfeng Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Carbon.

In The Last Decade

Lifang Wang

120 papers receiving 1.7k citations

Hit Papers

Rice crop mapping and mon... 1997 2026 2006 2016 1997 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Lifang Wang 379 319 286 213 204 134 1.8k
Xiaolong Li 126 0.3× 310 1.0× 114 0.4× 159 0.7× 39 0.2× 91 1.7k
Lin Chen 432 1.1× 336 1.1× 152 0.5× 115 0.5× 77 0.4× 106 2.2k
Wenbo Li 64 0.2× 126 0.4× 286 1.0× 208 1.0× 167 0.8× 73 1.5k
Ben Wang 51 0.1× 190 0.6× 222 0.8× 115 0.5× 74 0.4× 146 2.0k
Lei Shi 266 0.7× 639 2.0× 262 0.9× 72 0.3× 15 0.1× 110 2.4k
Catalina Spataru 138 0.4× 438 1.4× 63 0.2× 45 0.2× 53 0.3× 93 2.3k
Daniel Delahaye 1.2k 3.1× 59 0.2× 82 0.3× 146 0.7× 102 0.5× 153 2.0k
Cheng Zhang 54 0.1× 180 0.6× 153 0.5× 80 0.4× 258 1.3× 104 2.1k
Xinyue Yang 69 0.2× 111 0.3× 290 1.0× 174 0.8× 75 0.4× 127 1.6k
Bing Xu 425 1.1× 159 0.5× 55 0.2× 47 0.2× 337 1.7× 129 1.7k

Countries citing papers authored by Lifang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lifang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lifang Wang. A scholar is included among the top collaborators of Lifang 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 Lifang Wang. Lifang Wang 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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