Haixun Wang

16.2k citations
231 papers · 9.6k indexed · 5 hit papers · h-index 50

Haixun Wang

224 papers receiving 9.1k citations

Hit Papers

Trinity2762003202620102018250500750

Peers

Haixun Wang
Comparison fields: 5 of 134
  • Signal Processing 3.1k
  • Artificial Intelligence 6.2k
  • Computer Networks and Communications 3.1k
  • Information Systems 2.7k
  • Computer Vision and Pattern Recognition 2.1k
Replace V. S. Subrahmanian with:
V. S. Subrahmanian United States
Gerhard Weikum Germany
Nick Koudas Canada
Berthier Ribeiro‐Neto Brazil
Sudipto Guha United States
Xifeng Yan United States
Jeffrey Xu Yu Hong Kong
Alistair Moffat Australia
Yannis Manolopoulos Greece
S. Muthukrishnan United States
Haixun Wang relative to V. S. Subrahmanian United States V. S. Subrahmanian's profile →
Citations per field
00.5×1.5×2.0×
V. S. Subrahmanian · 1×
Citations per year

Countries citing papers authored by Haixun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haixun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Haixun Wang, 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 Haixun Wang Line = papers co-authored together Haixun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20175
3 2017178
4
Understanding Short Texts
201613
5
Open domain short text conceptualization: a generative + descriptive modeling approach
201516
6
Learning term embeddings for hypernymy identification
201544
7
Query suggestion by concept instantiation
20130
8
Context-dependent conceptualization
201334
9
Managing and Mining Large Graphs: Systems and implementations (tutorial)
20121
10
A Common and Common Sense Knowledge Base for Opinion Mining
20111
11
Reachability Computation in Uncertain Graphs
20110
12 2011132
13
Challenges and experience in prototyping a multi-modal stream analytic and monitoring application on System S
200761
14
Integrity auditing of outsourced data
200798
15
Unifying data and domain knowledge using virtual views
20078
16 200422
17
Inductive learning in less than one sequential data scan
20031
18
Database System Extensions for Decision Support: the AXL Approach.
20004
19
Using SQL to Build New Aggregates and Extenders for Object- Relational Systems
200031
20
User-Defined Aggregates for Datamining.
19993

About Haixun Wang

Haixun Wang is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 231 papers that have together received 9.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (88 papers), Advanced Database Systems and Queries (58 papers), Topic Modeling (46 papers), Data Mining Algorithms and Applications (34 papers), Semantic Web and Ontologies (34 papers), Natural Language Processing Techniques (33 papers), Web Data Mining and Analysis (25 papers) and Graph Theory and Algorithms (21 papers). The work is most often cited by research in Signal Processing (3.1k citations), Artificial Intelligence (6.2k citations), Computer Networks and Communications (3.1k citations), Information Systems (2.7k citations) and Computer Vision and Pattern Recognition (2.1k citations). Haixun Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Philip S. Yu, Jiawei Han, Wei Fan, Bin Shao, Wei Wang, Charų C. Aggarwal, Jiong Yang, Hongsong Li, Zhongyuan Wang and Kenny Q. Zhu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, IEEE Intelligent Systems, ACM Transactions on Database Systems and Knowledge and Information Systems.

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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