Chang Tao

22 total papers · 520 total citations
19 papers, 438 citations indexed

About

Chang Tao is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Materials Chemistry. According to data from OpenAlex, Chang Tao has authored 19 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanics of Materials, 7 papers in Civil and Structural Engineering and 7 papers in Materials Chemistry. Recurrent topics in Chang Tao's work include Composite Structure Analysis and Optimization (14 papers), Nonlocal and gradient elasticity in micro/nano structures (7 papers) and Numerical methods in engineering (7 papers). Chang Tao is often cited by papers focused on Composite Structure Analysis and Optimization (14 papers), Nonlocal and gradient elasticity in micro/nano structures (7 papers) and Numerical methods in engineering (7 papers). Chang Tao collaborates with scholars based in China and United States. Chang Tao's co-authors include Ting Dai, Yiming Fu, Yiming Fu, Jun Zhong, Hong‐Liang Dai, Yiming Fu, Yang Chen, Jia Huang, Hao Xiong and Jian Li and has published in prestigious journals such as Composites Part B Engineering, Composite Structures and Applied Mathematical Modelling.

In The Last Decade

Chang Tao

18 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chang Tao	365	199	152	84	76	19	438
Mei‐Feng Liu	226 0.6×	109 0.5×	141 0.9×	84 1.0×	119 1.6×	25	394
Ke Xie	436 1.2×	238 1.2×	192 1.3×	95 1.1×	108 1.4×	25	495
Ngo Dinh Dat	367 1.0×	168 0.8×	214 1.4×	131 1.6×	75 1.0×	18	459
Luan C. Trinh	448 1.2×	245 1.2×	208 1.4×	54 0.6×	92 1.2×	19	489
Sima Ziaee	406 1.1×	321 1.6×	116 0.8×	71 0.8×	68 0.9×	32	472
Dejin Chen	327 0.9×	230 1.2×	96 0.6×	50 0.6×	58 0.8×	19	386
Ali Forooghi	305 0.8×	187 0.9×	127 0.8×	77 0.9×	76 1.0×	13	400
M. Nejati	362 1.0×	213 1.1×	178 1.2×	82 1.0×	72 0.9×	21	435
Elham Haghparast	286 0.8×	237 1.2×	107 0.7×	41 0.5×	67 0.9×	27	371
Akbar Allahverdizadeh	294 0.8×	113 0.6×	273 1.8×	78 0.9×	158 2.1×	24	442

Countries citing papers authored by Chang Tao

Since Specialization

Citations

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

Fields of papers citing papers by Chang Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Tao

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

All Works

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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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