Chang‐Tian Wang

409 citations
20 papers · 262 indexed · h-index 11
Topics
2D Materials and Applications (10 papers)Graphene research and applications (7 papers)Perovskite Materials and Applications (6 papers)
Journals
Physical Review LettersNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Chang‐Tian Wang

19 papers receiving 259 citations

Peers

Chang‐Tian Wang
Comparison fields: 5 of 51
  • Materials Chemistry 172
  • Electrical and Electronic Engineering 103
  • Atomic and Molecular Physics, and Optics 51
  • Artificial Intelligence 24
  • Electronic, Optical and Magnetic Materials 23
Replace Muhammad Kashif with:
Muhammad Kashif Pakistan
Masatsura Igami Japan
Thomas König Germany
Jiechun Liang China
Marie‐Pier Côté Canada
M. Kriechbaum Austria
J. Abellán Spain
Zun Wang China
Jianyong Ding China
Hongyu Ji China
Chang‐Tian Wang relative to Muhammad Kashif Pakistan Muhammad Kashif's profile →
Citations per field
00.5×1.5×2.1×
Muhammad Kashif · 1×
Citations per year

Countries citing papers authored by Chang‐Tian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Tian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Tian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Tian Wang. A scholar is included among the top collaborators of Chang‐Tian 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 Chang‐Tian Wang. Chang‐Tian Wang 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 1
2 0
3 2
4 1
5 17
6 26
7 9
8 12
9 30
10 18
11 9
12 4
13 14
14 1
15 20
16 19
17 23
18 30
19 1
20 25

About Chang‐Tian Wang

Chang‐Tian Wang is a scholar working on Statistics, Probability and Uncertainty, Materials Chemistry and Computer Science Applications, having authored 20 papers that have together received 262 indexed citations. Recurring topics across this work include 2D Materials and Applications (10 papers), Graphene research and applications (7 papers) and Perovskite Materials and Applications (6 papers). The work is most often cited by research in Materials Chemistry (172 citations), General Social Sciences (9 citations) and Statistics, Probability and Uncertainty (14 citations). Chang‐Tian Wang has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Shixuan Du, Jian-Tao Wang, Yanping Liu, Haihong Zheng, Shaofei Li, Zongwen Liu, Lu Huang, Junnan Ding, Biao Wu and Jiarun Liu. Their work appears in journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

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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