Ligang Zhou

1.4k total citations
38 papers, 898 citations indexed

About

Ligang Zhou is a scholar working on Artificial Intelligence, Accounting and Management Science and Operations Research. According to data from OpenAlex, Ligang Zhou has authored 38 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 24 papers in Accounting and 9 papers in Management Science and Operations Research. Recurrent topics in Ligang Zhou's work include Financial Distress and Bankruptcy Prediction (24 papers), Imbalanced Data Classification Techniques (22 papers) and Rough Sets and Fuzzy Logic (7 papers). Ligang Zhou is often cited by papers focused on Financial Distress and Bankruptcy Prediction (24 papers), Imbalanced Data Classification Techniques (22 papers) and Rough Sets and Fuzzy Logic (7 papers). Ligang Zhou collaborates with scholars based in Macao, China and Hong Kong. Ligang Zhou's co-authors include Kin Keung Lai, Hamido Fujita, Lean Yu, Jerome Yen, Qingyang Wang, Dong Lu, Yain‐Whar Si, Shouyang Wang, Rui Ma and Dou Quan and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Journal of the Operational Research Society.

In The Last Decade

Ligang Zhou

34 papers receiving 853 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ligang Zhou Macao 15 546 493 179 149 105 38 898
Ana I. Marqués Spain 12 544 1.0× 507 1.0× 179 1.0× 123 0.8× 83 0.8× 17 814
Chih‐Chou Chiu Taiwan 13 454 0.8× 298 0.6× 193 1.1× 537 3.6× 73 0.7× 21 1.2k
Javier G. Castellano Spain 14 467 0.9× 144 0.3× 51 0.3× 110 0.7× 106 1.0× 25 776
Matías Gámez Spain 13 271 0.5× 212 0.4× 105 0.6× 130 0.9× 64 0.6× 34 746
Stjepan Oreški Croatia 6 337 0.6× 210 0.4× 81 0.5× 44 0.3× 56 0.5× 9 531
Goran Oreški Croatia 6 315 0.6× 210 0.4× 79 0.4× 45 0.3× 47 0.4× 10 513
Linda Salchenberger United States 9 288 0.5× 253 0.5× 170 0.9× 256 1.7× 53 0.5× 16 645
Shian-Chang Huang Taiwan 15 188 0.3× 91 0.2× 102 0.6× 184 1.2× 66 0.6× 42 614
Dirk-Emma Baestaens Belgium 5 262 0.5× 161 0.3× 75 0.4× 201 1.3× 20 0.2× 7 581

Countries citing papers authored by Ligang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ligang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ligang Zhou

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

All Works

20 of 20 papers shown
1.
2.
Zhu, Panpan, et al.. (2023). Automatic mapping of gully from satellite images using asymmetric non-local LinkNet: A case study in Northeast China. International Soil and Water Conservation Research. 12(2). 365–378. 8 indexed citations
3.
Zhou, Ligang, et al.. (2022). A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps. Computational Economics. 62(4). 1481–1504. 2 indexed citations
4.
Zhou, Ligang, et al.. (2021). Credit risk modeling on data with two timestamps in peer-to-peer lending by gradient boosting. Applied Soft Computing. 110. 107672–107672. 27 indexed citations
5.
Liu, Xi, Zhifu Tao, Qiang Liu, & Ligang Zhou. (2021). Correlation Coefficient of Probabilistic Hesitant Fuzzy Soft Set and Its Applications in Decision Making. 34. 1–6. 2 indexed citations
6.
Si, Yain‐Whar, et al.. (2018). Trend following in financial time series with multi-objective optimization. Applied Soft Computing. 66. 149–167. 4 indexed citations
7.
Zhou, Ligang & Hamido Fujita. (2017). Posterior probability based ensemble strategy using optimizing decision directed acyclic graph for multi-class classification. Information Sciences. 400-401. 142–156. 31 indexed citations
8.
Zhou, Ligang, Qingyang Wang, & Hamido Fujita. (2016). One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies. Information Fusion. 36. 80–89. 61 indexed citations
9.
Zhou, Ligang, et al.. (2015). Predicting the listing status of Chinese listed companies with multi-class classification models. Information Sciences. 328. 222–236. 46 indexed citations
10.
Zhou, Ligang. (2014). A comparison of dynamic hazard models and static models for predicting the special treatment of stocks in China with comprehensive variables. Journal of the Operational Research Society. 66(7). 1077–1090. 5 indexed citations
11.
Zhou, Ligang. (2014). Predicting listing status of listed companies in China using adaboost approach. 5. 731–735. 1 indexed citations
12.
Zhou, Ligang, Kin Keung Lai, & Jerome Yen. (2012). Empirical models based on features ranking techniques for corporate financial distress prediction. Computers & Mathematics with Applications. 64(8). 2484–2496. 33 indexed citations
13.
Zhou, Ligang, Kin Keung Lai, & Jerome Yen. (2010). Bankruptcy Prediction Incorporating Macroeconomic Variables Using Neural Network. 80–85. 5 indexed citations
14.
Zhou, Ligang, Kin Keung Lai, & Jerome Yen. (2009). A New Approach with Convex Hull to Measure Classification Complexity of Credit Scoring Database. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 441–444. 1 indexed citations
15.
Zhou, Ligang & Kin Keung Lai. (2009). Multi-Agent Ensemble Models Based on Weighted Least Square SVM for Credit Risk Assessment. 2. 559–563. 6 indexed citations
16.
Lai, Kin Keung, Ligang Zhou, & Shouyang Wang. (2008). Credit Risk Evaluation with Least Square Support Vector Machine.
17.
Yu, Lean, Shouyang Wang, Kin Keung Lai, & Ligang Zhou. (2008). Bio-Inspired Credit Risk Analysis. 38 indexed citations
18.
Zhou, Ligang, Kin Keung Lai, & Lean Yu. (2008). Credit scoring using support vector machines with direct search for parameters selection. Soft Computing. 13(2). 149–155. 58 indexed citations
19.
Zhou, Ligang. (2005). Research on Consistency of Two Interval Judgement Matrices. Yunchou yu guanli. 3 indexed citations
20.
Zhou, Ligang. (2004). Optimization basis and properties of the sum-product method of complementary judgement matrix. Systems engineering and electronics. 1 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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