Man Lan
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Information Systems top 1%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 75
- Natural Language Processing Techniques 44
- Advanced Text Analysis Techniques 35
- Sentiment Analysis and Opinion Mining 24
- Text and Document Classification Technologies 13
- Advanced Graph Neural Networks 11
Man Lan
109 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.8k
- Information Systems 484
- Management Science and Operations Research 212
- Computer Vision and Pattern Recognition 267
- Computer Science Applications 46
Countries citing papers authored by Man Lan
This map shows the geographic impact of Man Lan'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 Man Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Lan more than expected).
Fields of papers citing papers by Man Lan
This network shows the impact of papers produced by Man Lan. 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 Man Lan. The network helps show where Man Lan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Man Lan, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 42 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 41 | |
| 8 | Leverage Web-based Answer Retrieval and Hierarchical Answer Selection to Improve the Performance of Live Question Answering. | 2015 | 1 |
| 9 | Estimating Semantic Similarity between Expanded Query and Tweet Content for Microblog Retrieval. | 2014 | 3 |
| 10 | Simple May Be Best - A Simple and Effective Method for Federated Web Search via Search Engine Impact Factor Estimation. | 2014 | 6 |
| 11 | ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements | 2013 | 6 |
| 12 | Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition | 2013 | 32 |
| 13 | Probabilistic Sense Sentiment Similarity through Hidden Emotions | 2013 | 5 |
| 14 | ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2) | 2013 | 6 |
| 15 | ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures | 2013 | 4 |
| 16 | Predicting Discourse Connectives for Implicit Discourse Relation Recognition | 2010 | 76 |
| 17 | ECNU: Effective Semantic Relations Classification without Complicated Features or Multiple External Corpora | 2010 | 4 |
| 18 | 2010 | 12 | |
| 19 | 2009 | 21 | |
| 20 | Proposing a new term weighting scheme for text categorization | 2006 | 64 |
About Man Lan
Man Lan is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Mechanics of Materials and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (75 papers), Natural Language Processing Techniques (44 papers), Advanced Text Analysis Techniques (35 papers), Sentiment Analysis and Opinion Mining (24 papers), Text and Document Classification Technologies (13 papers), Advanced Graph Neural Networks (11 papers), Thermoelastic and Magnetoelastic Phenomena (10 papers) and Ultrasonics and Acoustic Wave Propagation (9 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Information Systems (484 citations), Management Science and Operations Research (212 citations), Computer Vision and Pattern Recognition (267 citations) and Computer Science Applications (46 citations). Man Lan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yuanbin Wu, Jian Su, Chew Lim Tan, Yue Lu, Peijun Wei, Hwee-Boon Low, Zheng-Yu Niu, Xin Mao, Zhihua Zhang and Jiang Zhao. Their work appears in journals such as Applied Mathematical Modelling, Mechanics of Materials, Journal of Applied Physics, Information Processing & Management and Briefings in Bioinformatics.
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.