Wu Zhang
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- Online Learning and Analytics 5
- Artificial Intelligence top 10%
- Topic Modeling 4
- Adversarial Robustness in Machine Learning 3
- Sentiment Analysis and Opinion Mining 2
- Anomaly Detection Techniques and Applications 2
- Information Systems top 10%
- Cloud Computing and Resource Management 6
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- IoT and Edge/Fog Computing 3
- Advanced Data Storage Technologies 2
- Co-authors
- Wenhao ZhuMushtaq HussainSyed Muhammad Raza AbidiYaqiong LvZhangxin ChenXing WuWeiqin TongZhisong Pan
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wu Zhang
32 papers receiving 436 citations
Peers
Comparison fields: 5 of 97
- Computer Science Applications 169
- Health Information Management 47
- Artificial Intelligence 181
- Information Systems 95
- Health Informatics 5
Countries citing papers authored by Wu Zhang
This map shows the geographic impact of Wu 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 Wu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Zhang more than expected).
Fields of papers citing papers by Wu Zhang
This network shows the impact of papers produced by Wu 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 Wu Zhang. The network helps show where Wu Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wu 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 | 2023 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 5 | |
| 8 | 2018 | 12 | |
| 9 | 2012 | 2 | |
| 10 | 2012 | 1 | |
| 11 | 2012 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2012 | 23 | |
| 14 | 2011 | 22 | |
| 15 | 2010 | 33 | |
| 16 | 2010 | 13 | |
| 17 | 2010 | 20 | |
| 18 | 2005 | 9 | |
| 19 | Characteristics and Classification of Forest Tourism Resources | 2003 | 1 |
| 20 | [A study of textile noise influence on maternal function and embryo-growth]. | 1991 | 11 |
About Wu Zhang
Wu Zhang is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Computer Networks and Communications and Signal Processing, having authored 33 papers that have together received 460 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Online Learning and Analytics (5 papers), Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (3 papers), IoT and Edge/Fog Computing (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Data Storage Technologies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Science Applications (169 citations), Health Information Management (47 citations), Artificial Intelligence (181 citations), Information Systems (95 citations) and Health Informatics (5 citations). Wu Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wenhao Zhu, Mushtaq Hussain, Syed Muhammad Raza Abidi, Yaqiong Lv, Zhangxin Chen, Xing Wu, Weiqin Tong, Zhisong Pan, Michael Marschollek and Daming Wei. Their work appears in journals such as Sustainability, Optics Express, Neurocomputing, Engineering Applications of Artificial Intelligence and ISPRS International Journal of Geo-Information.
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.