Hua Ma
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Computer Science Applications top 10%
- Topics
- Cloud Computing and Resource Management (9 papers)IoT and Edge/Fog Computing (7 papers)Caching and Content Delivery (6 papers)
- Cited by
- Management Science and Operations ResearchInformation SystemsComputer Networks and Communications
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Hua Ma
29 papers receiving 317 citations
Peers
Comparison fields: 5 of 57
- Information Systems 165
- Computer Networks and Communications 147
- Management Science and Operations Research 96
- Artificial Intelligence 92
- Computer Science Applications 32
Countries citing papers authored by Hua Ma
This map shows the geographic impact of Hua Ma'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 Hua Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Ma more than expected).
Fields of papers citing papers by Hua Ma
This network shows the impact of papers produced by Hua Ma. 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 Hua Ma. The network helps show where Hua Ma may publish in the future.
Co-authorship network of co-authors of Hua Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Ma. A scholar is included among the top collaborators of Hua Ma 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 Hua Ma. Hua Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 28 | |
| 12 | 0 | |
| 13 | 58 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | Grouping approach of learning team based on social network analysis and multidimensional feature clustering | 2 |
| 17 | Service-Oriented Component Composition Platform Driven by Workflow | 1 |
| 18 | 5 | |
| 19 | Business User-oriented Service Discovery Model Based on Ontology Clustering | 0 |
| 20 | Research of Service-oriented Architecture Reference Model and Its Application | 3 |
About Hua Ma
Hua Ma is a scholar working on Information Systems, Computer Science Applications and Computer Networks and Communications, having authored 34 papers that have together received 326 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (7 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Management Science and Operations Research (96 citations), Information Systems (165 citations) and Computer Networks and Communications (147 citations). Hua Ma has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhigang Hu, Haibin Zhu, Keqin Li, Wensheng Tang, Hong‐yu Zhang, Pingping Dong, Yang Liu, Xuxiang Zhang, Jingze Li and Hongyu Zhang. Their work appears in journals such as Knowledge-Based Systems, Frontiers in Human Neuroscience and Future Generation Computer Systems.
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.