Zongda Wu
Impact in
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Metaheuristic Optimization Algorithms Research
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Signal Processing top 5%
Papers in
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- Privacy-Preserving Technologies in Data 28
- Cryptography and Data Security 23
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- Cloud Data Security Solutions 9
- Blockchain Technology Applications and Security 8
- Recommender Systems and Techniques 7
- Co-authors
- Guiling LiShigen ShenChenglang LuHaiping ZhouGuandong XuAli Asghar HeidariEnhong ChenDong Zhao
In The Last Decade
Zongda Wu
82 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 1.1k
- Signal Processing 221
- Computer Vision and Pattern Recognition 346
- Information Systems 371
- Computer Networks and Communications 299
Countries citing papers authored by Zongda Wu
This map shows the geographic impact of Zongda Wu'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 Zongda Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongda Wu more than expected).
Fields of papers citing papers by Zongda Wu
This network shows the impact of papers produced by Zongda Wu. 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 Zongda Wu. The network helps show where Zongda Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zongda Wu, 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 | 0 | |
| 2 | 2024 | 23 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation Hit paper breakdown → | 2024 | 65 |
| 6 | 2024 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 30 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 38 | |
| 12 | 2023 | 60 | |
| 13 | 2023 | 17 | |
| 14 | 2022 | 74 | |
| 15 | Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation Hit paper breakdown → | 2022 | 162 |
| 16 | Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization Hit paper breakdown → | 2022 | 137 |
| 17 | 2022 | 93 | |
| 18 | 2020 | 55 | |
| 19 | Efficient Q-Value Zero-Leakage Protection Scheme in SRS Regularly Publishing Private Data | 2019 | 3 |
| 20 | 2019 | 3 |
About Zongda Wu
Zongda Wu is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (28 papers), Cryptography and Data Security (23 papers), Privacy, Security, and Data Protection (10 papers), Video Analysis and Summarization (9 papers), Cloud Data Security Solutions (9 papers), Image Retrieval and Classification Techniques (8 papers), Blockchain Technology Applications and Security (8 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (221 citations), Computer Vision and Pattern Recognition (346 citations), Information Systems (371 citations) and Computer Networks and Communications (299 citations). Zongda Wu has collaborated with scholars based in China, Australia and Iran. Frequent co-authors include Guiling Li, Shigen Shen, Chenglang Lu, Haiping Zhou, Guandong Xu, Ali Asghar Heidari, Enhong Chen, Dong Zhao, Huxiong Li and Zhennao Cai. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems, Computers in Biology and Medicine, Neurocomputing and Information Sciences.
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.