Lejian Liao
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Transportation top 2%
- Co-authors
- Dandan SongXin LiWilliam K. CheungJing HeLi LiuMingming JiangYanlong ZhaiHeyan Huang
- Topics
- Topic Modeling (32 papers)Natural Language Processing Techniques (17 papers)Text and Document Classification Technologies (15 papers)
In The Last Decade
Lejian Liao
104 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 784
- Information Systems 569
- Computer Vision and Pattern Recognition 271
- Computer Networks and Communications 213
- Transportation 197
Countries citing papers authored by Lejian Liao
This map shows the geographic impact of Lejian Liao'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 Lejian Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lejian Liao more than expected).
Fields of papers citing papers by Lejian Liao
This network shows the impact of papers produced by Lejian Liao. 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 Lejian Liao. The network helps show where Lejian Liao may publish in the future.
Co-authorship network of co-authors of Lejian Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Lejian Liao. A scholar is included among the top collaborators of Lejian Liao 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 Lejian Liao. Lejian Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 31 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | Aligning users across social networks using network embedding | 138 |
| 10 | Topic modeling with document relative similarities | 14 |
| 11 | BIT and Purdue at TREC-KBA-CCR Track 2014 | 1 |
| 12 | 3 | |
| 13 | BIT and MSRA at TREC KBA CCR Track 2013 | 14 |
| 14 | Web Question Answering based on CCG parsing and DL ontology | 1 |
| 15 | 20 | |
| 16 | Authenticated Group Key Agreement Protocol | 0 |
| 17 | Secure Group Key Distribution Protocol Based on the Status Key Tree | 0 |
| 18 | Job scheduling Algorithm Based on Credit Model in Cluster Environment | 1 |
| 19 | Job scheduling algorithm based on credit model in cluster environment | 3 |
| 20 | Prioritized default constraint reasoning | 0 |
About Lejian Liao
Lejian Liao is a scholar working on Artificial Intelligence, Information Systems and Computational Mathematics, having authored 123 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (17 papers) and Text and Document Classification Technologies (15 papers). The work is most often cited by research in Transportation (197 citations), Information Systems (569 citations) and Artificial Intelligence (784 citations). Lejian Liao has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Dandan Song, Xin Li, William K. Cheung, Jing He, Li Liu, Xin Li, Mingming Jiang, Yanlong Zhai, Heyan Huang and Huaiqing Wang. Their work appears in journals such as IEEE Access, Pattern Recognition and Information Sciences.
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.