Changzheng He

794 citations
46 papers · 566 indexed · h-index 13
Topics
Statistical and Computational Modeling (13 papers)Customer churn and segmentation (9 papers)Industrial Technology and Control Systems (8 papers)

In The Last Decade

Changzheng He

43 papers receiving 542 citations

Peers

Changzheng He
Comparison fields: 5 of 88
  • Artificial Intelligence 283
  • Computer Vision and Pattern Recognition 81
  • Industrial and Manufacturing Engineering 80
  • Management Science and Operations Research 78
  • Information Systems 55
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Citations per field
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Citations per year

Countries citing papers authored by Changzheng He

Since Specialization
Citations

This map shows the geographic impact of Changzheng He'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 Changzheng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changzheng He more than expected).

Fields of papers citing papers by Changzheng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changzheng He. 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 Changzheng He. The network helps show where Changzheng He may publish in the future.

Co-authorship network of co-authors of Changzheng He

This figure shows the co-authorship network connecting the top 25 collaborators of Changzheng He. A scholar is included among the top collaborators of Changzheng He 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 Changzheng He. Changzheng He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 65
2 33
3 1
4 4
5 1
6
Network competence,innovation strategy and formation of innovative enterprise
2
7 8
8 21
9
SODM Based Multiple Classifiers Fusion and Its Application in Customer Classification
2
10
The Customer Satisfaction Analysis of SC Mobile
0
11
Cross validation model for neural network stability
4
12
Reconstruction of Technical Guideline of Land Expropriation during Hydroelectric Development in China
1
13 33
14 5
15
GMDH Identification Models of Chinese Listed Company's Financial Reports Fraud
1
16
Review on improvements of self-organizing data mining
1
17
Comparison between the self-organizing data mining and regression analysis
2
18
The Credit Risk Assessment of Listed Companies Based on Bayesian Regulated Neural Networks
0
19
OSA-based interpretative structural modeling
3
20
The Establishment of Self-adapting Algorithm ofBP Neural Network and Its Application
5

About Changzheng He

Changzheng He is a scholar working on Marketing, Artificial Intelligence and Control and Systems Engineering, having authored 46 papers that have together received 566 indexed citations. Recurring topics across this work include Statistical and Computational Modeling (13 papers), Customer churn and segmentation (9 papers) and Industrial Technology and Control Systems (8 papers). The work is most often cited by research in Artificial Intelligence (283 citations), Industrial and Manufacturing Engineering (80 citations) and Management Science and Operations Research (78 citations). Changzheng He has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Jin Xiao, Xiaoyi Jiang, Ling Xie, Bing Zhu, Geer Teng, Panos Liatsis, Qi Lei, Yue He, Tingting Zheng and Xiaoyu Li. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

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.

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