Lin Dai

1.1k citations
26 papers · 645 indexed · h-index 8

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Genomics and Phylogenetic Studies
    • Photosynthetic Processes and Mechanisms
    • Plant Reproductive Biology
    • Plant Gene Expression Analysis

Papers in

    • Social Media and Politics 2
    • Topic Modeling 6
    • Advanced Text Analysis Techniques 5
    • Natural Language Processing Techniques 5
    • Sentiment Analysis and Opinion Mining 4
    • Text and Document Classification Technologies 3

Lin Dai

23 papers receiving 629 citations

Peers

Lin Dai
Comparison fields: 5 of 111
  • Plant Science 214
  • Molecular Biology 320
  • Information Systems and Management 30
  • Health Informatics 5
  • Health Information Management 15
Replace Mónica Muñoz-Torres with:
Mónica Muñoz-Torres United States
Faramarz Valafar United States
Mary Schaeffer United States
Loretta Auvil United States
Adriano Barbosa-Silva Germany
Andrew Butterfield Ireland
Robert Müller Germany
Sandra Gesing United States
Greg Butler Canada
Graham Cameron United Kingdom
Lin Dai relative to Mónica Muñoz-Torres United States Mónica Muñoz-Torres's profile →
Citations per field
00.5×
Mónica Muñoz-Torres · 1×
Citations per year

Countries citing papers authored by Lin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Dai. 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 Lin Dai. The network helps show where Lin Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lin Dai Line = papers co-authored together Lin Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20243
5 202214
6 202131
7 20209
8 202011
9 20205
10 20197
11 20132
12 201314
13 20136
14 2012106
15 2012390
16 20124
17
An English-Chinese Cross-lingual Word Semantic Similarity Measure Exploring Attributes and Relations
20117
18 20114
19 20106
20 20094

About Lin Dai

Lin Dai is a scholar working on Communication, Artificial Intelligence, Transportation, Ecological Modeling and Building and Construction, having authored 26 papers that have together received 645 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers), Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Text and Document Classification Technologies (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Plant Science (214 citations), Molecular Biology (320 citations), Information Systems and Management (30 citations), Health Informatics (5 citations) and Health Information Management (15 citations). Lin Dai has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Jingfa Xiao, Zhang Zhang, Xumin Wang, Jiayan Wu, Guiming Liu, Haiyan Zhang, Xin Gao, Yan Guo, Huaping Zhang and Arshad Ahmad. Their work appears in journals such as Complexity, Ocean Engineering, Scientific Reports, Bioinformatics and IEEE Access.

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.

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