Lingling Zhang
- Artificial Intelligence top 10%
- Information Systems top 5%
- Marketing top 5%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Topics
- Data Mining Algorithms and Applications (13 papers)Recommender Systems and Techniques (8 papers)Imbalanced Data Classification Techniques (7 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lingling Zhang
55 papers receiving 614 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 188
- Information Systems 165
- Marketing 113
- Management Science and Operations Research 102
- Electrical and Electronic Engineering 74
Countries citing papers authored by Lingling Zhang
This map shows the geographic impact of Lingling Zhang'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 Lingling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Zhang more than expected).
Fields of papers citing papers by Lingling Zhang
This network shows the impact of papers produced by Lingling Zhang. 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 Lingling Zhang. The network helps show where Lingling Zhang may publish in the future.
Co-authorship network of co-authors of Lingling Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Zhang. A scholar is included among the top collaborators of Lingling Zhang 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 Lingling Zhang. Lingling Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 42 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 21 | |
| 13 | Dynamic Head-Related Transfer Function Measurement Using a Dual-Loudspeaker Array | 1 |
| 14 | An empirical study of the influence of software Trustworthy Attributes to Software Trustworthiness | 4 |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 7 | |
| 18 | Research on Improving Efficiency of Organizational Knowledge Transfer and Sharing Based on Knowledge Potential | 1 |
| 19 | 1 | |
| 20 | A Fuzzy Mining Algorithm for Association-Rule Knowledge Discovery | 1 |
About Lingling Zhang
Lingling Zhang is a scholar working on Information Systems, Communication and Management of Technology and Innovation, having authored 58 papers that have together received 660 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Recommender Systems and Techniques (8 papers) and Imbalanced Data Classification Techniques (7 papers). The work is most often cited by research in Marketing (113 citations), Management Science and Operations Research (102 citations) and Information Systems (165 citations). Lingling Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Shi, Guangli Nie, Yingjie Tian, Jifa Gu, Yilin Zhang, Aihua Li, Zhe Jiang, Danyang Du, Bo Wen and Yibing Chen. Their work appears in journals such as Nanoscale, Expert Systems with Applications and Energy.
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.