Yanling Chang

32 total papers · 1.3k total citations
18 papers, 873 citations indexed

About

Yanling Chang is a scholar working on Management Information Systems, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Yanling Chang has authored 18 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Information Systems, 4 papers in Strategy and Management and 4 papers in Management Science and Operations Research. Recurrent topics in Yanling Chang's work include Supply Chain and Inventory Management (3 papers), ZnO doping and properties (3 papers) and Gas Sensing Nanomaterials and Sensors (3 papers). Yanling Chang is often cited by papers focused on Supply Chain and Inventory Management (3 papers), ZnO doping and properties (3 papers) and Gas Sensing Nanomaterials and Sensors (3 papers). Yanling Chang collaborates with scholars based in United States and China. Yanling Chang's co-authors include Eleftherios Iakovou, Weidong Shi, Robert L. Snyder, Zhong Lin Wang, Youfan Hu, Yan Zhang, Alan L. Erera, Amir Gharehgozli, Chelsea C. White and Zhimin Gao and has published in prestigious journals such as ACS Nano, Psychological Review and IEEE Transactions on Automatic Control.

In The Last Decade

Yanling Chang

17 papers receiving 846 citations

Hit Papers

Blockchain in global supp... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yanling Chang 354 221 217 209 208 18 873
Wenhui Yang 124 0.4× 39 0.2× 325 1.5× 86 0.4× 194 0.9× 44 788
Wei Dong Leong 69 0.2× 192 0.9× 159 0.7× 229 1.1× 135 0.6× 31 1.0k
Chuan Zhang 31 0.1× 60 0.3× 164 0.8× 191 0.9× 148 0.7× 59 950
Shan Wang 24 0.1× 186 0.8× 236 1.1× 50 0.2× 70 0.3× 59 730
Kwangtae Park 30 0.1× 51 0.2× 86 0.4× 333 1.6× 80 0.4× 51 965
Padmakumar Muthuswamy 138 0.4× 90 0.4× 152 0.7× 90 0.4× 164 0.8× 35 814
Qin Zhang 18 0.1× 273 1.2× 121 0.6× 375 1.8× 25 0.1× 85 1.0k
Chunyang Yu 98 0.3× 126 0.6× 97 0.4× 90 0.4× 56 0.3× 61 793
Sihan Huang 140 0.4× 86 0.4× 69 0.3× 75 0.4× 19 0.1× 46 1.0k
Zhiqian Sang 74 0.2× 49 0.2× 53 0.2× 112 0.5× 36 0.2× 18 927

Countries citing papers authored by Yanling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanling Chang

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