Qingli Dong

891 total citations · 1 hit paper
15 papers, 717 citations indexed

About

Qingli Dong is a scholar working on Artificial Intelligence, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Qingli Dong has authored 15 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Economics and Econometrics and 4 papers in Management Science and Operations Research. Recurrent topics in Qingli Dong's work include Energy Load and Power Forecasting (4 papers), Energy, Environment, Economic Growth (3 papers) and Air Quality and Health Impacts (2 papers). Qingli Dong is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Energy, Environment, Economic Growth (3 papers) and Air Quality and Health Impacts (2 papers). Qingli Dong collaborates with scholars based in China, Canada and United Kingdom. Qingli Dong's co-authors include Peizhi Li, Xuejiao Ma, Yu Jin, Yong Wang, Ping Jiang, Yuhuan Sun, Yunyue Wang, Yang Zhao, Lin Zhu and Wendong Yang and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Expert Systems with Applications.

In The Last Decade

Qingli Dong

14 papers receiving 706 citations

Hit Papers

Green technology innovation efficiency of energy-intensiv... 2021 2026 2022 2024 2021 50 100 150

Peers

Qingli Dong
Comparison fields: 5 of 83
  • Electrical and Electronic Engineering 244
  • Economics and Econometrics 238
  • Management Science and Operations Research 174
  • Environmental Engineering 137
  • Artificial Intelligence 132
Replace Hufang Yang with:
Hufang Yang China
Ling Xie China
Yuhong Wang China
Chengshi Tian China
Jinpeng Liu China
Lu‐Tao Zhao China
Lifang Zhang China
Xiuzhi Sang China
Hufang Yang China View profile →
Citations per field, relative to Qingli Dong
Qingli Dong · 1×
Citations per year, relative to Qingli Dong
Qingli Dong · 1×

Countries citing papers authored by Qingli Dong

Since Specialization
Citations

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

Fields of papers citing papers by Qingli Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingli Dong

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 41
2 3
3 11
4 23
5
Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path breakdown →
164
6 0
7 22
8 15
9 49
10 40
11 30
12 171
13 62
14 82
15 4

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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