Liang Wu
- Sociology and Political Science top 2%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Statistical and Nonlinear Physics top 5%
- Signal Processing top 5%
- Co-authors
- Huan LiuFred MorstatterKathleen M. CarleyJundong LiTahora H. NazerXia HuLiangjie HongDiane Hu
- Topics
- Advanced Graph Neural Networks (11 papers)Spam and Phishing Detection (10 papers)Topic Modeling (10 papers)
- Journals
- Sustainable Cities and SocietyTransportation Research Part F Traffic Psychology and BehaviourLanguage Resources and Evaluation
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Liang Wu
40 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Sociology and Political Science 604
- Artificial Intelligence 583
- Information Systems 539
- Statistical and Nonlinear Physics 231
- Signal Processing 133
Countries citing papers authored by Liang Wu
This map shows the geographic impact of Liang Wu'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 Liang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Wu more than expected).
Fields of papers citing papers by Liang Wu
This network shows the impact of papers produced by Liang Wu. 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 Liang Wu. The network helps show where Liang Wu may publish in the future.
Co-authorship network of co-authors of Liang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Wu. A scholar is included among the top collaborators of Liang Wu 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 Liang Wu. Liang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | Misinformation in Social Mediabreakdown → | 224 |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 71 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Classifying n-back EEG data using entropy and mutual information features. | 6 |
| 19 | Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process | 4 |
| 20 | Data uncertainties in geographic information system | 1 |
About Liang Wu
Liang Wu is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (11 papers), Spam and Phishing Detection (10 papers) and Topic Modeling (10 papers). The work is most often cited by research in Information Systems (539 citations), Statistical and Nonlinear Physics (231 citations) and Artificial Intelligence (583 citations). Liang Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Huan Liu, Fred Morstatter, Kathleen M. Carley, Jundong Li, Tahora H. Nazer, Xia Hu, Huan Liu, Liangjie Hong, Diane Hu and Teng-Sheng Moh. Their work appears in journals such as Sustainable Cities and Society, Transportation Research Part F Traffic Psychology and Behaviour and Language Resources and Evaluation.
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.