2026 Dong Xin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	National Ranking	Publications	Citations
Computer Science	32	13039	5250	58	5330

Discipline name

D-Index

World Ranking

National Ranking

Publications

Citations

Computer Science

13039

5250

5330

Overview

Dong Xin is a researcher affiliated with Google in the United States. Their work primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence and related subfields.

Their research contributions include a range of topics such as Topic Modeling, Biomedical Text Mining and Ontologies, Data Quality and Management, Traditional Chinese Medicine Studies, Natural Language Processing Techniques, Metabolomics and Mass Spectrometry Studies, and Speech and Dialogue Systems.

Dong Xin has published extensively, with notable papers including:

Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models (2024, Journal of the American Medical Informatics Association)
Knowledge graphs: Introduction, history, and perspectives (2022, AI Magazine)
PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning (2024, Journal of the American Medical Informatics Association)
TCMLLM-PR: evaluation of large language models for prescription recommendation in traditional Chinese medicine (2024, Digital Chinese Medicine)
PresRecRF: Herbal prescription recommendation via the representation fusion of large TCM semantics and molecular knowledge (2024, Phytomedicine)

Frequent co-authors collaborating with Dong Xin include Xuezhong Zhou, Zhaojiang Lin, Kuo Yang, Seungwhan Moon, and Xinpeng Song.

The researcher's works are often published in venues such as:

arXiv (Cornell University)
Journal of the American Medical Informatics Association
AI Magazine
Digital Chinese Medicine
Phytomedicine

Dong Xin's scholarly focus integrates aspects of Artificial Intelligence with applications in bioinformatics and traditional medicine, reflecting a multidisciplinary approach that combines computational techniques with domain-specific knowledge.

Best Publications

Frequent pattern mining: current status and future directions

Jiawei Han;Hong Cheng;Dong Xin;Xifeng Yan

1877
Citations
Mining compressed frequent-pattern sets

Dong Xin;Jiawei Han;Xifeng Yan;Hong Cheng

292
Citations
Summarizing itemset patterns: a profile-based approach

Xifeng Yan;Hong Cheng;Jiawei Han;Dong Xin

272
Citations
Star-cubing: computing iceberg cubes by top-down and bottom-up integration

Dong Xin;Jiawei Han;Xiaolei Li;Benjamin W. Wah

235
Citations
Graph cube: on warehousing and OLAP multidimensional networks

Peixiang Zhao;Xiaolei Li;Dong Xin;Jiawei Han

232
Citations
Fast personalized PageRank on MapReduce

Bahman Bahmani;Kaushik Chakrabarti;Dong Xin

193
Citations
Extracting redundancy-aware top-k patterns

Dong Xin;Hong Cheng;Xifeng Yan;Jiawei Han

176
Citations
An efficient filter for approximate membership checking

Kaushik Chakrabarti;Surajit Chaudhuri;Venkatesh Ganti;Dong Xin

130
Citations
Towards robust indexing for ranked queries

Dong Xin;Chen Chen;Jiawei Han

119
Citations
Crawling deep web entity pages

Yeye He;Dong Xin;Venkatesh Ganti;Sriram Rajaraman

104
Citations
SEISA: set expansion by iterative similarity aggregation

Yeye He;Dong Xin

102
Citations
Progressive and selective merge: computing top-k with ad-hoc ranking functions

Dong Xin;Jiawei Han;Kevin C. Chang

101
Citations
Ranking objects based on relationships

Kaushik Chakrabarti;Venkatesh Ganti;Jiawei Han;Dong Xin

100
Citations
Answering top-k queries with multi-dimensional selections: the ranking cube approach

Dong Xin;Jiawei Han;Hong Cheng;Xiaolei Li

88
Citations
Discovering interesting patterns through user's interactive feedback

Dong Xin;Xuehua Shen;Qiaozhu Mei;Jiawei Han

85
Citations
Exploiting web search to generate synonyms for entities

Surajit Chaudhuri;Venkatesh Ganti;Dong Xin

81
Citations
Promotion analysis in multi-dimensional space

Tianyi Wu;Dong Xin;Qiaozhu Mei;Jiawei Han

81
Citations
C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking

Dong Xin;Zheng Shao;Jiawei Han;Hongyan Liu

79
Citations
Keyword++: a framework to improve keyword search over entity databases

Venkatesh Ganti;Yeye He;Dong Xin

79
Citations
Generating semantic annotations for frequent patterns with context analysis

Qiaozhu Mei;Dong Xin;Hong Cheng;Jiawei Han

75
Citations

Frequent Co-Authors

Jiawei Han University of Illinois at Urbana-Champaign

Kaushik Chakrabarti Microsoft (United States)

Surajit Chaudhuri Microsoft (United States)

Venkatesh Ganti Microsoft (United States)

Xifeng Yan University of California, Santa Barbara

Qiaozhu Mei University of Michigan–Ann Arbor

Hongyan Liu Peking University

ChengXiang Zhai University of Illinois at Urbana-Champaign

Benjamin W. Wah Chinese University of Hong Kong

Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign

External Links

Personal website of Dong Xin Google Scholar page

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