Yanchun Zhang
- Signal Processing top 0.5%
- Data Management and Algorithms 28
- Artificial Intelligence top 0.2%
- Cryptography and Data Security 32
- Privacy-Preserving Technologies in Data 25
- Information Systems top 0.2%
- Recommender Systems and Techniques 35
- Service-Oriented Architecture and Web Services 28
- Web Data Mining and Analysis 27
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces 32
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries 25
- Co-authors
- Hua WangSiuly SiulyJinli CaoJing HeGuangyan HuangXiaoxia YinXiaohua JiaAhnaf Rashik Hassan
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (3 papers)Nano Letters (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yanchun Zhang
466 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Signal Processing 1.1k
- Artificial Intelligence 3.2k
- Information Systems 2.2k
- Cognitive Neuroscience 1.7k
- Computer Networks and Communications 1.5k
Countries citing papers authored by Yanchun Zhang
This map shows the geographic impact of Yanchun 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 Yanchun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanchun Zhang more than expected).
Fields of papers citing papers by Yanchun Zhang
This network shows the impact of papers produced by Yanchun 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 Yanchun Zhang. The network helps show where Yanchun Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanchun Zhang, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 3 | |
| 14 | A Comprehensive Survey on Multi-View Clusteringbreakdown → | 2023 | 142 |
| 15 | 2022 | 8 | |
| 16 | 2020 | 11 | |
| 17 | 2018 | 22 | |
| 18 | An analysis of data selection methods on classifier accuracy measure | 2008 | 4 |
| 19 | A latent usage approach for clustering web transaction and building user profile | 2005 | 0 |
| 20 | Algorithm for Web Services Matching | 2004 | 9 |
About Yanchun Zhang
Yanchun Zhang is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 498 papers that have together received 10.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (35 papers), Cryptography and Data Security (32 papers), EEG and Brain-Computer Interfaces (32 papers), Service-Oriented Architecture and Web Services (28 papers), Data Management and Algorithms (28 papers), Web Data Mining and Analysis (27 papers), Privacy-Preserving Technologies in Data (25 papers) and Advanced Database Systems and Queries (25 papers). The work is most often cited by research in Signal Processing (1.1k citations), Artificial Intelligence (3.2k citations) and Information Systems (2.2k citations). Yanchun Zhang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Hua Wang, Siuly Siuly, Jinli Cao, Jing He, Guangyan Huang, Xiaoxia Yin, Xiaohua Jia, Ahnaf Rashik Hassan, Khandakar Ahmed and Yun Yang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.
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.