Tang Xiao-wo

214 total papers · 812 total citations
92 papers, 602 citations indexed

About

Tang Xiao-wo is a scholar working on Management Information Systems, Strategy and Management and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Tang Xiao-wo has authored 92 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Information Systems, 22 papers in Strategy and Management and 19 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Tang Xiao-wo's work include Supply Chain and Inventory Management (26 papers), Evaluation and Optimization Models (13 papers) and Sustainable Supply Chain Management (11 papers). Tang Xiao-wo is often cited by papers focused on Supply Chain and Inventory Management (26 papers), Evaluation and Optimization Models (13 papers) and Sustainable Supply Chain Management (11 papers). Tang Xiao-wo collaborates with scholars based in China, United States and Canada. Tang Xiao-wo's co-authors include Debing Ni, Kevin Li, Yong Shi, Yi Peng, Weixuan Xu, Xingzheng Ai, Jing Chen, Wenyi Du, Yubing Fan and Yinghui Tang and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Tang Xiao-wo

76 papers receiving 576 citations

Author Peers

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

Author Last Decade Papers Cites
Tang Xiao-wo 290 271 184 74 66 92 602
Mohsen Shafiei Nikabadi 265 0.9× 163 0.6× 125 0.7× 90 1.2× 34 0.5× 79 584
Apichat Sopadang 270 0.9× 188 0.7× 123 0.7× 69 0.9× 22 0.3× 46 696
Ming Zhou 318 1.1× 194 0.7× 131 0.7× 43 0.6× 42 0.6× 32 673
Raúl Rodríguez Rodríguez 281 1.0× 284 1.0× 62 0.3× 126 1.7× 29 0.4× 56 662
Henrique Luiz Corrêa 240 0.8× 227 0.8× 81 0.4× 132 1.8× 29 0.4× 57 605
Katsumi Morikawa 226 0.8× 232 0.9× 87 0.5× 71 1.0× 47 0.7× 76 664
John F. Kros 213 0.7× 216 0.8× 45 0.2× 85 1.1× 61 0.9× 54 638
Sanjay Mathrani 307 1.1× 273 1.0× 110 0.6× 33 0.4× 19 0.3× 58 545
Ningning Wang 271 0.9× 253 0.9× 169 0.9× 46 0.6× 84 1.3× 26 591
Gürdal Ertek 178 0.6× 204 0.8× 110 0.6× 98 1.3× 58 0.9× 46 549

Countries citing papers authored by Tang Xiao-wo

Since Specialization
Citations

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

Fields of papers citing papers by Tang Xiao-wo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tang Xiao-wo. 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 Tang Xiao-wo. The network helps show where Tang Xiao-wo may publish in the future.

Co-authorship network of co-authors of Tang Xiao-wo

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026