Dapeng Liu
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Software top 5%
- Electrical and Electronic Engineering
- Co-authors
- Denys PoshyvanykAndrian MarcusLemuria CarterVáclav RajlichDan PeiVictoria YoonManoj A. ThomasYoujian Zhao
- Topics
- Software Engineering Research (13 papers)Software System Performance and Reliability (9 papers)Software Testing and Debugging Techniques (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Dapeng Liu
56 papers receiving 768 citations
Peers
Comparison fields: 5 of 105
- Information Systems 352
- Artificial Intelligence 241
- Computer Networks and Communications 213
- Software 146
- Electrical and Electronic Engineering 108
Countries citing papers authored by Dapeng Liu
This map shows the geographic impact of Dapeng Liu'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 Dapeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Liu more than expected).
Fields of papers citing papers by Dapeng Liu
This network shows the impact of papers produced by Dapeng Liu. 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 Dapeng Liu. The network helps show where Dapeng Liu may publish in the future.
Co-authorship network of co-authors of Dapeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Liu. A scholar is included among the top collaborators of Dapeng Liu 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 Dapeng Liu. Dapeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 64 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 9 | |
| 12 | 20 | |
| 13 | Federated Machine Learning for Translational Research. | 2 |
| 14 | Is System Quality Irrelevant to System Use? - A Literature Review of the Relationship Between System Quality and System Use. | 2 |
| 15 | 17 | |
| 16 | Determination of the resistance of adult Culex pipiens pallens to commonly used pesticides in Jiangsu province. | 1 |
| 17 | 3 | |
| 18 | 3 | |
| 19 | Hybrid particle swarm optimization algorithm in optimization design of soil-nail bracing | 1 |
| 20 | Language engineering for the Semantic Web: a digital library for endangered languages. | 6 |
About Dapeng Liu
Dapeng Liu is a scholar working on Software, Information Systems and Management and Information Systems, having authored 64 papers that have together received 800 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Software System Performance and Reliability (9 papers) and Software Testing and Debugging Techniques (7 papers). The work is most often cited by research in Software (146 citations), Information Systems (352 citations) and Computer Networks and Communications (213 citations). Dapeng Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Denys Poshyvanyk, Andrian Marcus, Lemuria Carter, Václav Rajlich, Dan Pei, Victoria Yoon, Manoj A. Thomas, Youjian Zhao, Shaochun Xu and Li Yan. Their work appears in journals such as IEEE Access, International Journal of Information Management and Decision Support 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.