Hau‐Ling Chan
- Strategy and Management top 1%
- Management Information Systems top 0.5%
- Marketing top 2%
- Industrial and Manufacturing Engineering top 2%
- Economics and Econometrics top 5%
- Topics
- Sustainable Supply Chain Management (18 papers)Supply Chain and Inventory Management (16 papers)Supply Chain Resilience and Risk Management (11 papers)
- Journals
- Journal of Cleaner ProductionJournal of Business ResearchInternational Journal of Production Economics
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Hau‐Ling Chan
39 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Strategy and Management 930
- Management Information Systems 712
- Marketing 489
- Industrial and Manufacturing Engineering 275
- Economics and Econometrics 178
Countries citing papers authored by Hau‐Ling Chan
This map shows the geographic impact of Hau‐Ling Chan'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 Hau‐Ling Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hau‐Ling Chan more than expected).
Fields of papers citing papers by Hau‐Ling Chan
This network shows the impact of papers produced by Hau‐Ling Chan. 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 Hau‐Ling Chan. The network helps show where Hau‐Ling Chan may publish in the future.
Co-authorship network of co-authors of Hau‐Ling Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Hau‐Ling Chan. A scholar is included among the top collaborators of Hau‐Ling Chan 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 Hau‐Ling Chan. Hau‐Ling Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Using generative artificial intelligence (GenAI) in marketing: Development and practicesbreakdown → | 15 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 8 | |
| 8 | 79 | |
| 9 | 81 | |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 75 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 61 | |
| 16 | 55 | |
| 17 | 8 | |
| 18 | 62 | |
| 19 | 14 | |
| 20 | 28 |
About Hau‐Ling Chan
Hau‐Ling Chan is a scholar working on Management Information Systems, Strategy and Management and Marketing, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (18 papers), Supply Chain and Inventory Management (16 papers) and Supply Chain Resilience and Risk Management (11 papers). The work is most often cited by research in Management Information Systems (712 citations), Strategy and Management (930 citations) and Marketing (489 citations). Hau‐Ling Chan has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Tsan‐Ming Choi, Bin Shen, Xiaohang Yue, Subodha Kumar, Yajun Cai, Xiutian Shi, Ciwei Dong, Shuyun Ren, Xiaoyan Xu and Tana Siqin. Their work appears in journals such as Journal of Cleaner Production, Journal of Business Research and International Journal of Production Economics.
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.