Chenglong Wang

439 citations
10 papers · 338 indexed · h-index 4
Topics
Industrial Vision Systems and Defect Detection (3 papers)Advanced Neural Network Applications (3 papers)Transportation Planning and Optimization (2 papers)
Partner nations
ChinaCanada

In The Last Decade

Chenglong Wang

10 papers receiving 329 citations

Peers

Chenglong Wang
Comparison fields: 5 of 74
  • Economics and Econometrics 130
  • Renewable Energy, Sustainability and the Environment 107
  • Electrical and Electronic Engineering 83
  • Pollution 75
  • Industrial and Manufacturing Engineering 31
Replace Guowei Gao with:
Guowei Gao China
Silvia Micheli Italy
Guillermo Ivan Pereira Portugal
N. Nezamuddin India
Lijing Zhu China
Fabian Heymann Portugal
Chiranjib Bhowmik India
Georgios Xexakis Greece
Xiaopeng Guo China
Tadeusz Skoczkowski Poland
Chenglong Wang relative to Guowei Gao China Guowei Gao's profile →
Citations per field
00.5×3.1×
Guowei Gao · 1×
Citations per year

Countries citing papers authored by Chenglong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenglong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Wang

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 6
2 1
3 6
4 12
5 1
6 2
7 1
8 306
9 2
10
The robustness research on the product platform for meeting the customer requirements
1

About Chenglong Wang

Chenglong Wang is a scholar working on Industrial and Manufacturing Engineering, Transportation and Management of Technology and Innovation, having authored 10 papers that have together received 338 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (3 papers), Advanced Neural Network Applications (3 papers) and Transportation Planning and Optimization (2 papers). The work is most often cited by research in General Energy (13 citations), Renewable Energy, Sustainability and the Environment (107 citations) and Pollution (75 citations). Chenglong Wang has collaborated with scholars based in China and Canada. Frequent co-authors include Guowei Gao, Xiaofeng Xu, Qiang Ji, Zhiming Chen, Heng Xie, Guanghan Huang, Zhiyuan Huang, Chunming Shi, Jian Li and Ziyan Zhao. Their work appears in journals such as IEEE Access, Resources Policy and Computational Intelligence and Neuroscience.

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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