Dell Zhang

1.9k total citations
63 papers, 1.1k citations indexed

About

Dell Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dell Zhang has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Dell Zhang's work include Topic Modeling (20 papers), Text and Document Classification Technologies (16 papers) and Natural Language Processing Techniques (10 papers). Dell Zhang is often cited by papers focused on Topic Modeling (20 papers), Text and Document Classification Technologies (16 papers) and Natural Language Processing Techniques (10 papers). Dell Zhang collaborates with scholars based in United Kingdom, China and Singapore. Dell Zhang's co-authors include Wee Sun Lee, Mark Levene, Jun Wang, Jinsong Lu, Deng Cai, Chris Brown, Xiaoxue Zhao, Long Chen, Jun Wang and Yong Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Dell Zhang

59 papers receiving 1.1k citations

Peers

Dell Zhang
Xia Lin United States
Robert Krovetz United States
Dell Zhang
Citations per year, relative to Dell Zhang Dell Zhang (= 1×) peers Edie Rasmussen

Countries citing papers authored by Dell Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dell Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dell Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dell Zhang. A scholar is included among the top collaborators of Dell Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dell Zhang. Dell Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Li, et al.. (2025). Deep Hashing with Semantic Hash Centers for Image Retrieval. ACM Transactions on Information Systems. 43(6). 1–38.
2.
Chen, Yong, et al.. (2024). AVHash: Joint Audio-Visual Hashing for Video Retrieval. 2370–2378.
3.
Zhang, Dell, et al.. (2024). Empowering Smart Glasses with Large Language Models: Towards Ubiquitous AGI. 631–633. 4 indexed citations
4.
Makrehchi, Masoud, et al.. (2023). The 3rd International Workshop on Mining and Learning in the Legal Domain. 5277–5280. 2 indexed citations
5.
Zhang, Dell, et al.. (2023). Context-Aware Classification of Legal Document Pages. 3285–3289. 2 indexed citations
6.
7.
Zhang, Dell, et al.. (2023). Unleashing the Power of Large Language Models for Legal Applications. 5257–5258. 4 indexed citations
8.
Chen, Yong, et al.. (2020). Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. IEEE Transactions on Knowledge and Data Engineering. 34(3). 1177–1190. 29 indexed citations
9.
Rozanova, Julia, et al.. (2020). On the Evaluation of Intelligence Process Automation.. arXiv (Cornell University). 1 indexed citations
10.
Brown, Chris & Dell Zhang. (2016). How can school leaders establish evidence-informed Schools. Educational Management Administration & Leadership. 45(3). 382–401. 27 indexed citations
11.
Levene, Mark, et al.. (2014). The anatomy of a search and mining system for digital humanities. 165–168. 4 indexed citations
12.
Chen, Long, Dell Zhang, & Mark Levene. (2013). Question retrieval with user intent. 973–976. 15 indexed citations
13.
Castells, Pablo, Jun Wang, Rubén Lara, & Dell Zhang. (2011). Workshop on novelty and diversity in recommender systems - DiveRS 2011. 393–394. 25 indexed citations
14.
Zhang, Dell, Jun Wang, Deng Cai, & Jinsong Lu. (2010). Extensions to Self-Taught Hashing: Kernelisation and Supervision. 4 indexed citations
15.
Wang, Jun, Shi Zhou, & Dell Zhang. (2009). Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management. 19 indexed citations
16.
Zhang, Dell & Wee Sun Lee. (2009). Query-By-Multiple-Examples using Support Vector Machines. Journal of Digital Information Management. 7. 202–210. 6 indexed citations
17.
Zhang, Dell & Wee Sun Lee. (2006). Extracting key-substring-group features for text classification. 474–483. 29 indexed citations
18.
Zhang, Dell & Wee Sun Lee. (2004). Learning to integrate web taxonomies. Journal of Web Semantics. 2(2). 131–151. 13 indexed citations
19.
Zhang, Dell & Wee Sun Lee. (2003). A Language Modeling Approach to Passage Question Answering. BIROn (Birkbeck, University of London). 489–495. 13 indexed citations
20.
Zhang, Dell & Wee Sun Lee. (2002). Web Based Pattern Mining and Matching Approach to Question Answering.. BIROn (Birkbeck, University of London). 22 indexed citations

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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