Fei Chang

37 total papers · 668 total citations
22 papers, 534 citations indexed

About

Fei Chang is a scholar working on Mechanical Engineering, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Fei Chang has authored 22 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 5 papers in Computer Networks and Communications and 5 papers in Automotive Engineering. Recurrent topics in Fei Chang's work include Additive Manufacturing Materials and Processes (5 papers), Neural Networks Stability and Synchronization (5 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). Fei Chang is often cited by papers focused on Additive Manufacturing Materials and Processes (5 papers), Neural Networks Stability and Synchronization (5 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). Fei Chang collaborates with scholars based in China, Germany and United Kingdom. Fei Chang's co-authors include Dongdong Gu, Donghua Dai, Pengpeng Yuan, Wilhelm Meiners, Yves‐Christian Hagedorn, Hongqiao Wang, Konrad Wissenbach, Ingomar Kelbassa, Reinhart Poprawe and Zhiyu Wen and has published in prestigious journals such as Journal of the Franklin Institute, Neural Networks and Surface and Coatings Technology.

In The Last Decade

Fei Chang

20 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
Fei Chang	454	341	42	37	35	22	534
Baoqiang Li	421 0.9×	213 0.6×	40 1.0×	107 2.9×	51 1.5×	18	462
Pengwei Wang	539 1.2×	253 0.7×	84 2.0×	149 4.0×	27 0.8×	26	613
Ruham Pablo Reis	506 1.1×	226 0.7×	39 0.9×	53 1.4×	72 2.1×	30	532
Johannes Trapp	559 1.2×	258 0.8×	25 0.6×	92 2.5×	58 1.7×	17	602
Tim Schubert	422 0.9×	139 0.4×	42 1.0×	141 3.8×	71 2.0×	21	521
Jean-Daniel Penot	432 1.0×	243 0.7×	22 0.5×	77 2.1×	52 1.5×	11	544
Jikang Fan	393 0.9×	125 0.4×	34 0.8×	116 3.1×	52 1.5×	35	462
Yaohong Xiao	469 1.0×	217 0.6×	88 2.1×	194 5.2×	66 1.9×	24	542
Yuzhou Sun	395 0.9×	116 0.3×	92 2.2×	102 2.8×	69 2.0×	17	461
Zidong Lin	398 0.9×	168 0.5×	23 0.5×	118 3.2×	43 1.2×	23	525

Countries citing papers authored by Fei Chang

Since Specialization

Citations

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

Fields of papers citing papers by Fei Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Chang. A scholar is included among the top collaborators of Fei 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 Fei Chang. Fei Chang 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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