Wanting Wu

40 papers receiving 570 citations

Wanting Wu's Hit Papers

Fintech inputs, non-performing loans risk reduction and bank performance improvement 2023 · 86 citations
860+1+2Years since publication255075

Peers

Wanting Wu
Comparison fields: 5 of 129
  • Management Information Systems 69
  • Accounting 78
  • Finance 67
  • Reproductive Medicine 45
  • Economics and Econometrics 97
Replace Sungmook Lim with:
Sungmook Lim South Korea
Kristina Šutienė Lithuania
Erwin M. Saniga United States
Ronald K. Klimberg United States
Cheng Zhu China
José J. López‐Espín Spain
Alejandro Peña Colombia
I. M. Premachandra New Zealand
Fernando Borrás Spain
Wanting Wu relative to Sungmook Lim South Korea Sungmook Lim's profile →
Citations per field
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Sungmook Lim · 1×
Citations per year

Countries citing papers authored by Wanting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanting Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanting Wu Line = papers co-authored together Wanting Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fintech inputs, non-performing loans risk reduction and bank performance improvement
Hit paper breakdown →
202386
2 202175
3 202248
4 201936
5 202432
6 201430
7
APPLYING ANALYTIC NETWORK PROCESS IN LOGISTICS SERVICE PROVIDER SELECTION - A CASE STUDY OF THE INDUSTRY INVESTING IN SOUTHEAST ASIA
201123
8 202222
9 201821
10 201819
11 201416
12 202215
13 201615
14 201713
15 202012
16 202512
17 202011
18 202110
19 20168
20 20248

About Wanting Wu

Wanting Wu is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics, Molecular Biology, Management Information Systems and Information Systems, having authored 41 papers that have together received 584 indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Microfinance and Financial Inclusion (4 papers), Moringa oleifera research and applications (3 papers), FinTech, Crowdfunding, Digital Finance (3 papers), Carbon and Quantum Dots Applications (2 papers), Economic Growth and Development (2 papers), Job Satisfaction and Organizational Behavior (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Management Information Systems (69 citations), Accounting (78 citations), Finance (67 citations), Reproductive Medicine (45 citations) and Economics and Econometrics (97 citations). Wanting Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haijun Wang, Haohan Luo, Yuchao Peng, Kai-Ying Chen, Zhixiong Li, Yuelong Bai, Tuqiang Zhou, Mingyang Zhang, Liqun Peng and Ming‐Chang Wu. Their work appears in journals such as Frontiers in Pharmacology, International Review of Financial Analysis, Industrial Crops and Products, Acta Psychologica and Finance research letters.

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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