Lida Li
Impact in
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- Personal Information Management and User Behavior
- Human-Computer Interaction top 5%
- Usability and User Interface Design
Papers in
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- Personal Information Management and User Behavior 5
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- Usability and User Interface Design 2
- Co-authors
- Thomas G. DietterichJonathan L. HerlockerJianqiang ShenSimone StumpfMargaret BurnettErin SullivanVidya RajaramWeng‐Keen Wong
- Journals
- International Journal of Human-Computer Studies (1 paper)International Joint Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (1 paper)ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (2 papers)
- Partner nations
- United States
In The Last Decade
Lida Li
8 papers receiving 451 citations
Peers
Comparison fields: 5 of 60
- Information Systems and Management 246
- Human-Computer Interaction 132
- Health Informatics 13
- Computer Science Applications 50
- Computer Vision and Pattern Recognition 155
Countries citing papers authored by Lida Li
This map shows the geographic impact of Lida Li'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 Lida Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Li more than expected).
Fields of papers citing papers by Lida Li
This network shows the impact of papers produced by Lida Li. 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 Lida Li. The network helps show where Lida Li may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Lida Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 121 | |
| 2 | Markov blanket feature selection for support vector machines | 2008 | 7 |
| 3 | Real-time detection of task switches of desktop users | 2007 | 23 |
| 4 | 2007 | 93 | |
| 5 | 2007 | 7 | |
| 6 | 2006 | 78 | |
| 7 | The TaskTracer system | 2005 | 10 |
| 8 | 2005 | 161 |
About Lida Li
Lida Li is a scholar working on Information Systems and Management, Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 8 papers that have together received 500 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (5 papers), Context-Aware Activity Recognition Systems (4 papers), Data Stream Mining Techniques (3 papers), Usability and User Interface Design (2 papers), Data Quality and Management (1 paper), Rough Sets and Fuzzy Logic (1 paper), Bayesian Modeling and Causal Inference (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Information Systems and Management (246 citations), Human-Computer Interaction (132 citations), Health Informatics (13 citations), Computer Science Applications (50 citations) and Computer Vision and Pattern Recognition (155 citations). Lida Li has collaborated with scholars based in United States. Frequent co-authors include Thomas G. Dietterich, Jonathan L. Herlocker, Jianqiang Shen, Simone Stumpf, Margaret Burnett, Erin Sullivan, Vidya Rajaram, Weng‐Keen Wong, Casey Dugan and Beth Brownholtz. Their work appears in journals such as International Journal of Human-Computer Studies, International Joint Conference on Artificial Intelligence, National Conference on Artificial Intelligence and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.