Shengchun Deng
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Zengyou HeXiaofei XuZhexue HuangJoshua Zhexue HuangLina ZhouXiaohui HuangYunming YeXutao Li
- Topics
- Advanced Clustering Algorithms Research (9 papers)Time Series Analysis and Forecasting (4 papers)Quality and Supply Management (4 papers)
In The Last Decade
Shengchun Deng
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 980
- Computer Networks and Communications 359
- Signal Processing 245
- Information Systems 144
- Computer Vision and Pattern Recognition 136
Countries citing papers authored by Shengchun Deng
This map shows the geographic impact of Shengchun Deng'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 Shengchun Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengchun Deng more than expected).
Fields of papers citing papers by Shengchun Deng
This network shows the impact of papers produced by Shengchun Deng. 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 Shengchun Deng. The network helps show where Shengchun Deng may publish in the future.
Co-authorship network of co-authors of Shengchun Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Shengchun Deng. A scholar is included among the top collaborators of Shengchun Deng 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 Shengchun Deng. Shengchun Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | Ontology representation method for virtual enterprise model | 0 |
| 7 | Differentiation-oriented integrated model for service evaluation in supply chain management | 0 |
| 8 | 42 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | Clustering Approach for Fissuring Forrester's Effect. | 2 |
| 12 | K-means Clustering - A Survey. | 4 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 57 | |
| 16 | 17 | |
| 17 | 126 | |
| 18 | 49 | |
| 19 | 49 | |
| 20 | Discovering cluster-based local outliersbreakdown → | 671 |
About Shengchun Deng
Shengchun Deng is a scholar working on Management Information Systems, Management of Technology and Innovation and Signal Processing, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (9 papers), Time Series Analysis and Forecasting (4 papers) and Quality and Supply Management (4 papers). The work is most often cited by research in Artificial Intelligence (980 citations), Signal Processing (245 citations) and Computer Networks and Communications (359 citations). Shengchun Deng has collaborated with scholars based in China, Pakistan and Hong Kong. Frequent co-authors include Zengyou He, Xiaofei Xu, Xiaofei Xu, Zhexue Huang, Joshua Zhexue Huang, Lina Zhou, Xiaohui Huang, Yunming Ye, Xutao Li and Xiaoqing Liu. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems and Pattern Recognition Letters.
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.