Suling Zhu

23 papers receiving 915 citations

Peers

Suling Zhu
Comparison fields: 5 of 81
  • Environmental Engineering 444
  • Health, Toxicology and Mutagenesis 358
  • Management Science and Operations Research 251
  • Automotive Engineering 133
  • Electrical and Electronic Engineering 415
Replace Hongmin Li with:
Hongmin Li China
Hufang Yang China
Qunli Wu China
Hongyuan Luo China
Mingfei Niu China
Emil Pelikán Czechia
Jiazheng Li China
Azim Heydari Italy
Guangxi Yan China
Xinsong Niu China
Suling Zhu relative to Hongmin Li China Hongmin Li's profile →
Citations per field
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Hongmin Li · 1×
Citations per year

Countries citing papers authored by Suling Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Suling Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suling Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suling Zhu Line = papers co-authored together Suling Zhu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017187
2 2018148
3 2010116
4 201193
5 201969
6 201669
7 201853
8 201450
9 201042
10 202031
11 201024
12 202014
13 202211
14 20178
15 20227
16 20236
17 20233
18 20233
19 20253
20 20133

About Suling Zhu

Suling Zhu is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Management Science and Operations Research, Electrical and Electronic Engineering and Automotive Engineering, having authored 25 papers that have together received 945 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Air Quality and Health Impacts (10 papers), Air Quality Monitoring and Forecasting (10 papers), Grey System Theory Applications (8 papers), Vehicle emissions and performance (5 papers), Forecasting Techniques and Applications (4 papers), Stock Market Forecasting Methods (3 papers) and Energy, Environment, Economic Growth (2 papers). The work is most often cited by research in Environmental Engineering (444 citations), Health, Toxicology and Mutagenesis (358 citations), Management Science and Operations Research (251 citations), Automotive Engineering (133 citations) and Electrical and Electronic Engineering (415 citations). Suling Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinxing Che, Jianzhou Wang, Haixia Liu, Jianming Hu, Haiyan Lu, Wenyu Zhang, Jianzhou Wang, Weigang Zhao, Xingrong Liu and Xiping Shen. Their work appears in journals such as Atmospheric Pollution Research, Environmental Pollution, Energy, Applied Energy and Atmospheric Environment.

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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