Du Ni

548 total citations
17 papers, 348 citations indexed

About

Du Ni is a scholar working on Management Science and Operations Research, Accounting and Electrical and Electronic Engineering. According to data from OpenAlex, Du Ni has authored 17 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 4 papers in Accounting and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Du Ni's work include Financial Distress and Bankruptcy Prediction (4 papers), Energy Load and Power Forecasting (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Du Ni is often cited by papers focused on Financial Distress and Bankruptcy Prediction (4 papers), Energy Load and Power Forecasting (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Du Ni collaborates with scholars based in China, United Kingdom and United States. Du Ni's co-authors include Ming K. Lim, Zhi Xiao, Bo Zhong, Xiaodong Feng, Maozeng Xu, Xiaoguang Jin, Yong Wang, Ke Гонг, Wenfeng Zhang and Huamin Li and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Du Ni

17 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Du Ni China 8 86 80 63 54 40 17 348
Amik Garg India 6 112 1.3× 139 1.7× 58 0.9× 66 1.2× 38 0.9× 14 516
Weiguo Fang China 11 153 1.8× 162 2.0× 55 0.9× 29 0.5× 81 2.0× 36 405
Baoguang Xu China 12 49 0.6× 60 0.8× 40 0.6× 88 1.6× 40 1.0× 22 405
Hasan Khademi Zare Iran 7 100 1.2× 67 0.8× 56 0.9× 43 0.8× 66 1.6× 15 371
Ligang Cui China 11 81 0.9× 157 2.0× 57 0.9× 124 2.3× 59 1.5× 22 370
Arindam Roy India 9 118 1.4× 131 1.6× 39 0.6× 94 1.7× 35 0.9× 17 304
Y.C. Tsim Hong Kong 11 75 0.9× 93 1.2× 58 0.9× 75 1.4× 35 0.9× 16 333
Sercan Demir Türkiye 6 99 1.2× 70 0.9× 38 0.6× 56 1.0× 27 0.7× 19 337
Zhenfeng Liu China 13 80 0.9× 36 0.5× 39 0.6× 32 0.6× 58 1.4× 41 473
Hamid Farvaresh Iran 9 40 0.5× 30 0.4× 44 0.7× 50 0.9× 28 0.7× 14 319

Countries citing papers authored by Du Ni

Since Specialization
Citations

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

Fields of papers citing papers by Du Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Du Ni

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

All Works

17 of 17 papers shown
1.
Lim, Ming K., et al.. (2023). Using random forest to find the discontinuity points for carbon efficiency during COVID-19. Soft Computing. 27(22). 16537–16549. 1 indexed citations
2.
Zhang, Wenfeng, et al.. (2023). Using deep learning to interpolate the missing data in time-series for credit risks along supply chain. Industrial Management & Data Systems. 123(5). 1401–1417. 6 indexed citations
3.
Ni, Du, et al.. (2023). Technology teachers’ teaching engineering self-efficacy: an investigation of Chinese high school general technology teachers. International Journal of Technology and Design Education. 34(2). 673–690. 1 indexed citations
4.
Lim, Ming K., et al.. (2022). Supply chain risk management with machine learning technology: A literature review and future research directions. Computers & Industrial Engineering. 175. 108859–108859. 73 indexed citations
5.
Lim, Ming K., et al.. (2022). Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction. Expert Systems with Applications. 213. 118873–118873. 45 indexed citations
6.
Lim, Ming K., et al.. (2022). Repair missing data to improve corporate credit risk prediction accuracy with multi-layer perceptron. Soft Computing. 26(18). 9167–9178. 8 indexed citations
7.
Ni, Du, et al.. (2022). Monitoring corporate credit risk with multiple data sources. Industrial Management & Data Systems. 123(2). 434–450. 7 indexed citations
8.
Wu, Jiang, Du Ni, & Zhi Xiao. (2021). N-Tier Soft Set Data Model: An Approach to Combine the Logicality of SQL and the Flexibility of NoSQL. Mobile Information Systems. 2021. 1–23. 2 indexed citations
9.
Ni, Du, Zhi Xiao, & Ming K. Lim. (2021). Machine learning in recycling business: an investigation of its practicality, benefits and future trends. Soft Computing. 25(12). 7907–7927. 25 indexed citations
10.
Lim, Ming K., et al.. (2020). Sustainability or continuous damage: A behavior study of prosumers’ electricity consumption after installing household distributed energy resources. Journal of Cleaner Production. 264. 121471–121471. 31 indexed citations
11.
Jin, Xiaoguang, et al.. (2020). Experimental Study on the Permeability Evolution and Gas Flow Law of Post-Strength Soft Coal. Applied Sciences. 10(3). 1039–1039. 3 indexed citations
12.
Гонг, Ke, et al.. (2020). An expert system to discover key congestion points for urban traffic. Expert Systems with Applications. 158. 113544–113544. 9 indexed citations
13.
Xiao, Zhi, et al.. (2019). External Stimuli Predict Financial Market Behavior From the Brain Perception Perspective. IEEE Access. 7. 28769–28777. 2 indexed citations
14.
Xiao, Zhi, et al.. (2019). Research on Economic Recession Prediction Model From the Multiple Behavioral Features Perspective. IEEE Access. 7. 83363–83371. 3 indexed citations
15.
Ni, Du, Zhi Xiao, & Ming K. Lim. (2019). A systematic review of the research trends of machine learning in supply chain management. International Journal of Machine Learning and Cybernetics. 11(7). 1463–1482. 122 indexed citations
16.
Ni, Du, et al.. (2018). Exploring Subjective Well-Being Factors with Support Vector Machine. International Journal of Engineering & Technology. 7(3.36). 164–166. 2 indexed citations
17.
Ni, Du, et al.. (2018). Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine. Scientific Reports. 8(1). 16596–16596. 8 indexed citations

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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