Linan Zhu

48 total papers · 736 total citations
32 papers, 447 citations indexed

About

Linan Zhu is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linan Zhu has authored 32 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linan Zhu's work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (7 papers). Linan Zhu is often cited by papers focused on Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (7 papers). Linan Zhu collaborates with scholars based in China, Hong Kong and Australia. Linan Zhu's co-authors include Xiangjie Kong, Yifei Xu, Chenwei Zhang, Qingshui Li, Yanyan Zhao, Yanwei Zhao, Bing Qin, Guojiang Shen, Zhi Liu and Wanliang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Linan Zhu

30 papers receiving 422 citations

Hit Papers

Multimodal sentiment anal... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Linan Zhu 233 76 68 66 65 32 447
Keyur Patel 108 0.5× 96 1.3× 147 2.2× 48 0.7× 36 0.6× 49 486
Ludger van Elst 215 0.9× 215 2.8× 36 0.5× 100 1.5× 34 0.5× 39 542
Nafiul Rashid 57 0.2× 56 0.7× 118 1.7× 102 1.5× 35 0.5× 27 413
Abdullah Alshehri 96 0.4× 59 0.8× 80 1.2× 67 1.0× 27 0.4× 41 437
Salvatore Andolina 97 0.4× 131 1.7× 44 0.6× 101 1.5× 33 0.5× 42 412
Nikolay Teslya 61 0.3× 169 2.2× 142 2.1× 68 1.0× 20 0.3× 60 407
M. G. Arenas 176 0.8× 68 0.9× 69 1.0× 35 0.5× 10 0.2× 44 428
Yudith Cardinale 158 0.7× 156 2.1× 114 1.7× 78 1.2× 56 0.9× 64 440
Hela Ltifi 147 0.6× 38 0.5× 44 0.6× 142 2.2× 22 0.3× 61 407
Udo Bub 132 0.6× 97 1.3× 28 0.4× 36 0.5× 19 0.3× 42 428

Countries citing papers authored by Linan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Linan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linan Zhu

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