Qing Chang

3.2k citations
102 papers · 2.5k indexed · 2 hit papers · h-index 28
Topics
Conducting polymers and applications (24 papers)Perovskite Materials and Applications (23 papers)Analytical Chemistry and Sensors (11 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Qing Chang

95 papers receiving 2.4k citations

Hit Papers

Short-term power load forecasting for combined heat and p...20222026202320242023202250100150200

Peers

Qing Chang
Comparison fields: 5 of 142
  • Electrical and Electronic Engineering 1.4k
  • Materials Chemistry 770
  • Bioengineering 467
  • Polymers and Plastics 443
  • Biomedical Engineering 377
Replace Guoping Li with:
Guoping Li China
Yabin Zhang China
Ping Zhang China
Jiaqi Zhang China
Dongxue Wang China
Juan Manuel Pérez Spain
Wooyoung Lee South Korea
Lihua Gao China
Jiaqiang Liu China
Qing Chang relative to Guoping Li China Guoping Li's profile →
Citations per field
00.5×4.4×
Guoping Li · 1×
Citations per year

Countries citing papers authored by Qing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Chang. A scholar is included among the top collaborators of Qing Chang 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 Qing Chang. Qing Chang 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 0
2 0
3 12
4 3
5 3
6 2
7 19
8
Short-term power load forecasting for combined heat and power using CNN-LSTM enhanced by attention mechanismbreakdown →
227
9 29
10 3
11 34
12 2
13 0
14 17
15 67
16 51
17 5
18 125
19 10
20 2

About Qing Chang

Qing Chang is a scholar working on Bioengineering, Polymers and Plastics and Electrical and Electronic Engineering, having authored 102 papers that have together received 2.5k indexed citations. Recurring topics across this work include Conducting polymers and applications (24 papers), Perovskite Materials and Applications (23 papers) and Analytical Chemistry and Sensors (11 papers). The work is most often cited by research in Bioengineering (467 citations), Polymers and Plastics (443 citations) and Electrical and Electronic Engineering (1.4k citations). Qing Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Andrew Mills, Anping Wan, H. N. McMurray, Khalil AL-Bukhaiti, Heqing Tang, Peixiao Qi, Liwen Sun, Die Zhang, Wei Huang and Linfei Wu. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

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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