Hai Dong
- Information Systems top 0.5%
- Service-Oriented Architecture and Web Services 36
- Blockchain Technology Applications and Security 11
- Web Data Mining and Analysis 8
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- IoT and Edge/Fog Computing 18
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 22
- Privacy-Preserving Technologies in Data 10
- Adversarial Robustness in Machine Learning 8
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- Business Process Modeling and Analysis 11
- Co-authors
- Farookh Khadeer HussainElizabeth ChangLe SunOmar Khadeer HussainAthman BouguettayaPengcheng ZhangSajib MistryYanchun Zhang
- Cited by
- Information SystemsComputer Networks and CommunicationsManagement Science and Operations Research
In The Last Decade
Hai Dong
115 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Information Systems 827
- Computer Networks and Communications 574
- Management Science and Operations Research 208
- Artificial Intelligence 448
- Management Information Systems 107
Countries citing papers authored by Hai Dong
This map shows the geographic impact of Hai Dong'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 Hai Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Dong more than expected).
Fields of papers citing papers by Hai Dong
This network shows the impact of papers produced by Hai Dong. 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 Hai Dong. The network helps show where Hai Dong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hai Dong, 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 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 22 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 27 | |
| 20 | Improved ant Colony Optimization for Virtual Teams Building in Collaborative Process Planning | 2014 | 1 |
About Hai Dong
Hai Dong is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Computer Networks and Communications and Software, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (36 papers), Semantic Web and Ontologies (22 papers), IoT and Edge/Fog Computing (18 papers), Blockchain Technology Applications and Security (11 papers), Business Process Modeling and Analysis (11 papers), Privacy-Preserving Technologies in Data (10 papers), Adversarial Robustness in Machine Learning (8 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Information Systems (827 citations), Computer Networks and Communications (574 citations), Management Science and Operations Research (208 citations), Artificial Intelligence (448 citations) and Management Information Systems (107 citations). Hai Dong has collaborated with scholars based in Australia, China and Qatar. Frequent co-authors include Farookh Khadeer Hussain, Elizabeth Chang, Le Sun, Omar Khadeer Hussain, Athman Bouguettaya, Pengcheng Zhang, Sajib Mistry, Yanchun Zhang, A. K. Qin and Jiangang Ma. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Access, IEEE Transactions on Software Engineering, Future Generation Computer Systems and IEEE Transactions on Mobile Computing.
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.