Liangming Pan

1.0k total citations
26 papers, 427 citations indexed

About

Liangming Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Liangming Pan has authored 26 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Liangming Pan's work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Liangming Pan is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Liangming Pan collaborates with scholars based in Singapore, China and United States. Liangming Pan's co-authors include Juanzi Li, Tat‐Seng Chua, Jie Tang, Chengjiang Li, Jingjing Chen, Chong‐Wah Ngo, Zhiyuan Liu, Yixin Cao, Min‐Yen Kan and William Yang Wang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Multimedia and Transactions of the Association for Computational Linguistics.

In The Last Decade

Liangming Pan

19 papers receiving 417 citations

Peers

Liangming Pan
Comparison fields: 5 of 49
  • Artificial Intelligence 353
  • Computer Vision and Pattern Recognition 108
  • Information Systems 69
  • Management Science and Operations Research 57
  • Computer Science Applications 56
Replace Christopher A. Choquette-Choo with:
Christopher A. Choquette-Choo United States
Ali Shahin Shamsabadi United Kingdom
David Vickrey United States
Ashwin Paranjape United States
Wangchunshu Zhou China
Saikat Mukherjee United States
Mohammad Al-Rubaie United States
Hongzhao Huang United States
Oleksandr Tkachenko Germany
Christopher A. Choquette-Choo United States View profile →
Citations per field, relative to Liangming Pan
Liangming Pan · 1×
Citations per year, relative to Liangming Pan
Liangming Pan · 1×

Countries citing papers authored by Liangming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Liangming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangming Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Liangming Pan. A scholar is included among the top collaborators of Liangming Pan 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 Liangming Pan. Liangming Pan 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 0
2 0
3 1
4 24
5 1
6 4
7 0
8 2
9 42
10 1
11 32
12 71
13 0
14 62
15 15
16 44
17 1
18
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation
31
19 77
20
RiMOM results for OAEI 2016.
2

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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