Kaihua Qin
- Information Systems top 2%
- Management Information Systems top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Management Science and Operations Research top 10%
- Co-authors
- Arthur GervaisLiyi ZhouChristof Ferreira TorresDuc V. LeBenjamin LivshitsAntoine CullyZhipeng WangYu Wang
- Topics
- Blockchain Technology Applications and Security (10 papers)Crime, Illicit Activities, and Governance (4 papers)FinTech, Crowdfunding, Digital Finance (4 papers)
- Cited by
- Information SystemsManagement Information SystemsManagement Science and Operations Research
- Journals
- ACM SIGMETRICS Performance Evaluation ReviewSpiral (Imperial College London)Research Explorer (The University of Manchester)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Kaihua Qin
11 papers receiving 334 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Information Systems 285
- Management Information Systems 75
- Artificial Intelligence 73
- Computer Networks and Communications 56
- Management Science and Operations Research 48
Countries citing papers authored by Kaihua Qin
This map shows the geographic impact of Kaihua Qin'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 Kaihua Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihua Qin more than expected).
Fields of papers citing papers by Kaihua Qin
This network shows the impact of papers produced by Kaihua Qin. 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 Kaihua Qin. The network helps show where Kaihua Qin may publish in the future.
Co-authorship network of co-authors of Kaihua Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Kaihua Qin. A scholar is included among the top collaborators of Kaihua Qin 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 Kaihua Qin. Kaihua Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | SoK: Decentralized Finance (DeFi) Attacksbreakdown → | 71 |
| 8 | 22 | |
| 9 | 99 | |
| 10 | 52 | |
| 11 | 81 | |
| 12 | 4 | |
| 13 | 1 |
About Kaihua Qin
Kaihua Qin is a scholar working on Information Systems, Management Information Systems and Physical Therapy, Sports Therapy and Rehabilitation, having authored 13 papers that have together received 343 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), Crime, Illicit Activities, and Governance (4 papers) and FinTech, Crowdfunding, Digital Finance (4 papers). The work is most often cited by research in Information Systems (285 citations), Management Information Systems (75 citations) and Management Science and Operations Research (48 citations). Kaihua Qin has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Arthur Gervais, Liyi Zhou, Christof Ferreira Torres, Duc V. Le, Benjamin Livshits, Antoine Cully, Zhipeng Wang, Yu Wang, Dawn Song and Roger Wattenhofer. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Spiral (Imperial College London) and Research Explorer (The University of Manchester).
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.