The Jin Ai

42 total papers · 826 total citations
30 papers, 612 citations indexed

About

The Jin Ai is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Building and Construction. According to data from OpenAlex, The Jin Ai has authored 30 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 12 papers in Management Information Systems and 6 papers in Building and Construction. Recurrent topics in The Jin Ai's work include Supply Chain and Inventory Management (9 papers), Vehicle Routing Optimization Methods (6 papers) and Scheduling and Optimization Algorithms (5 papers). The Jin Ai is often cited by papers focused on Supply Chain and Inventory Management (9 papers), Vehicle Routing Optimization Methods (6 papers) and Scheduling and Optimization Algorithms (5 papers). The Jin Ai collaborates with scholars based in Indonesia, Thailand and Taiwan. The Jin Ai's co-authors include Voratas Kachitvichyanukul, T.M.A. Ari Samadhi, Feng Jiao, Rencheng Song, Huynh Trung Luong, Huang Hu, Lida Huang, Dah-Chuan Gong, Hui‐Ming Wee and Paulus Wisnu Anggoro and has published in prestigious journals such as Computers & Operations Research, Computers & Industrial Engineering and The TQM Journal.

In The Last Decade

The Jin Ai

27 papers receiving 575 citations

Author Peers

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

Author Last Decade Papers Cites
The Jin Ai 466 178 142 137 49 30 612
Jeffrey W. Ohlmann 402 0.9× 239 1.3× 111 0.8× 76 0.6× 18 0.4× 32 647
Michel Toulouse 413 0.9× 152 0.9× 173 1.2× 141 1.0× 26 0.5× 43 691
İmdat Kara 560 1.2× 220 1.2× 220 1.5× 57 0.4× 46 0.9× 27 683
Daniele Ferone 454 1.0× 149 0.8× 126 0.9× 41 0.3× 31 0.6× 33 585
Francisco Ángel-Bello 518 1.1× 105 0.6× 83 0.6× 85 0.6× 25 0.5× 28 624
Emanuela Guerriero 513 1.1× 231 1.3× 123 0.9× 41 0.3× 22 0.4× 38 667
Yanwei Zhao 403 0.9× 106 0.6× 154 1.1× 91 0.7× 89 1.8× 66 639
Taesu Cheong 212 0.5× 137 0.8× 123 0.9× 64 0.5× 74 1.5× 38 597
Daniel Guimarans 485 1.0× 178 1.0× 138 1.0× 64 0.5× 15 0.3× 31 606
Achmad Pratama Rifai 440 0.9× 60 0.3× 67 0.5× 70 0.5× 47 1.0× 48 696

Countries citing papers authored by The Jin Ai

Since Specialization
Citations

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

Fields of papers citing papers by The Jin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of The Jin Ai

This figure shows the co-authorship network connecting the top 25 collaborators of The Jin Ai. A scholar is included among the top collaborators of The Jin Ai 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 The Jin Ai. The Jin Ai 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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2026