Linan Zhu

758 total citations · 1 hit paper
33 papers, 462 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 33 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 17 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 Sentiment Analysis and Opinion Mining (11 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (8 papers). Linan Zhu is often cited by papers focused on Sentiment Analysis and Opinion Mining (11 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (8 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 436 citations

Hit Papers

Multimodal sentiment analysis based on fusion methods: A ... 2023 2026 2024 2025 2023 40 80 120

Peers

Linan Zhu
Comparison fields: 5 of 83
  • Artificial Intelligence 242
  • Information Systems 78
  • Computer Vision and Pattern Recognition 70
  • Computer Networks and Communications 68
  • Experimental and Cognitive Psychology 68
Replace Rajaram Ganeshan with:
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Andrés Gómez de Silva Garza Mexico
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Asmaa El Hannani Morocco
Oleksiy Khriyenko Finland
Muhammad Raza Naqvi Pakistan
Smita Agrawal India
Jianbing Xiahou China
Huagang Tong China
Rajaram Ganeshan India View profile →
Citations per field, relative to Linan Zhu
Linan Zhu · 1×
Citations per year, relative to Linan Zhu
Linan Zhu · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 0
4 1
5 0
6 8
7 0
8 2
9 4
10
Multimodal sentiment analysis based on fusion methods: A survey breakdown →
148
11 5
12 17
13 1
14 45
15 2
16 10
17 11
18 4
19 11
20 4

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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