The Jin Ai

26 papers and 486 indexed citations i.

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 26 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 10 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 (7 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 (7 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, Dah-Chuan Gong, T.M.A. Ari Samadhi, Huynh Trung Luong, Hui‐Ming Wee, Rencheng Song, Huang Hu, Paulus Wisnu Anggoro, Feng Jiao and Lida Huang and has published in prestigious journals such as Computers & Operations Research, Computers & Industrial Engineering and The TQM Journal.

In The Last Decade

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

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.

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).

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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2025