Chi Lu
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Intelligent Tutoring Systems and Adaptive Learning
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Computer Science Applications top 10%
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Text Readability and Simplification 2
- Speech and dialogue systems 1
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- Web Data Mining and Analysis 1
- Software Engineering Research 1
- Co-authors
- Jill Burstein (6 shared papers)Susanne Wolff (6 shared papers)Martin Chodorow (3 shared papers)Karen Kukich (3 shared papers)Bruce Kaplan (3 shared papers)James J. Nolan (1 shared paper)Keelan Evanini (2 shared papers)Chee Wee Leong (2 shared papers)
- Journals
- ETS Research Report Series (6 papers)Open MIND (1 paper)The COCOON platform (University of Paris) (2 papers)International MultiConference of Engineers and Computer Scientists (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Chi Lu
9 papers receiving 240 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 207
- Computer Science Applications 26
- Information Systems 88
- Developmental and Educational Psychology 48
- Language and Linguistics 25
Countries citing papers authored by Chi Lu
This map shows the geographic impact of Chi 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 Chi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Lu more than expected).
Fields of papers citing papers by Chi Lu
This network shows the impact of papers produced by Chi 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 Chi Lu. The network helps show where Chi Lu may publish in the future.
Co-authors
The 22 scholars most cited alongside Chi Lu, 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 | 1998 | 107 | |
| 2 | 1998 | 52 | |
| 3 | Enriching Automated Essay Scoring Using Discourse Marking. | 1998 | 52 |
| 4 | 2018 | 43 | |
| 5 | 1998 | 15 | |
| 6 | 1995 | 2 | |
| 7 | 1997 | 2 | |
| 8 | Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10. | 2018 | 1 |
| 9 | 2017 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2007 | 0 |
About Chi Lu
Chi Lu is a scholar working on Artificial Intelligence, Information Systems, Literature and Literary Theory, Education and Signal Processing, having authored 11 papers that have together received 275 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Discourse Analysis in Language Studies (3 papers), Text Readability and Simplification (2 papers), Speech and dialogue systems (1 paper), Web Data Mining and Analysis (1 paper), Second Language Acquisition and Learning (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (207 citations), Computer Science Applications (26 citations), Information Systems (88 citations), Developmental and Educational Psychology (48 citations) and Language and Linguistics (25 citations). Chi Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jill Burstein, Susanne Wolff, Martin Chodorow, Karen Kukich, Bruce Kaplan, James J. Nolan, Keelan Evanini, Chee Wee Leong, Lei Chen and Xinhao Wang. Their work appears in journals such as ETS Research Report Series, Open MIND, The COCOON platform (University of Paris) and International MultiConference of Engineers and Computer Scientists.
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.