Chang‐Tien Lu

6.8k total citations
223 papers, 3.5k citations indexed

About

Chang‐Tien Lu is a scholar working on Artificial Intelligence, Signal Processing and Epidemiology. According to data from OpenAlex, Chang‐Tien Lu has authored 223 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Artificial Intelligence, 50 papers in Signal Processing and 38 papers in Epidemiology. Recurrent topics in Chang‐Tien Lu's work include Anomaly Detection Techniques and Applications (40 papers), Data-Driven Disease Surveillance (38 papers) and Human Mobility and Location-Based Analysis (33 papers). Chang‐Tien Lu is often cited by papers focused on Anomaly Detection Techniques and Applications (40 papers), Data-Driven Disease Surveillance (38 papers) and Human Mobility and Location-Based Analysis (33 papers). Chang‐Tien Lu collaborates with scholars based in United States, China and Kuwait. Chang‐Tien Lu's co-authors include Yufeng Kou, Naren Ramakrishnan, Feng Chen, Liang Zhao, Pusheng Zhang, Shashi Shekhar, Dechang Chen, Xuchao Zhang, Yo-Ping Huang and Kaiqun Fu and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and BioScience.

In The Last Decade

Chang‐Tien Lu

205 papers receiving 3.3k citations

Peers

Chang‐Tien Lu
Comparison fields: 5 of 149
  • Artificial Intelligence 1.6k
  • Signal Processing 781
  • Transportation 529
  • Computer Networks and Communications 524
  • Information Systems 490
Replace Anna Monreale with:
Anna Monreale Italy
Dong Wang United States
Yanjie Fu United States
Ross Maciejewski United States
Nicholas Jing Yuan China
Jing Gao United States
Yanchi Liu United States
Jae-Gil Lee South Korea
Liang Zhao United States
Francesco Marcelloni Italy
Anna Monreale Italy View profile →
Citations per field, relative to Chang‐Tien Lu
Chang‐Tien Lu · 1×
Citations per year, relative to Chang‐Tien Lu
Chang‐Tien Lu · 1×

Countries citing papers authored by Chang‐Tien Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Tien Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Tien Lu. 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 Chang‐Tien Lu. The network helps show where Chang‐Tien Lu may publish in the future.

Co-authorship network of co-authors of Chang‐Tien Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Tien Lu. A scholar is included among the top collaborators of Chang‐Tien Lu 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 Chang‐Tien Lu. Chang‐Tien Lu 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 1
2 0
3 2
4 0
5 1
6 0
7 2
8 1
9 0
10 1
11 9
12 4
13 87
14 1
15 12
16 6
17 2
18 7
19 36
20
Deep sparse coding based recursive disaggregation model for water conservation
10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026