Wenguo Ai

565 total citations · 1 hit paper
9 papers, 418 citations indexed

About

Wenguo Ai is a scholar working on Artificial Intelligence, Accounting and Education. According to data from OpenAlex, Wenguo Ai has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Accounting and 3 papers in Education. Recurrent topics in Wenguo Ai's work include Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers) and Higher Education Learning Practices (2 papers). Wenguo Ai is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers) and Higher Education Learning Practices (2 papers). Wenguo Ai collaborates with scholars based in China, Japan and United States. Wenguo Ai's co-authors include Jie Sun, Hamido Fujita, Hui Li, Yanqing Wang, Christian D. Schunn, Mengjie Zhou, Hui Li, Luning Liu and Ying Liu and has published in prestigious journals such as Information Sciences, Information Fusion and Higher Education.

In The Last Decade

Wenguo Ai

9 papers receiving 405 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting

2019 263 citations Jie Sun, Hui Li et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenguo Ai China	7	246	148	66	50	38	9	418
Goran Oreški Croatia	6	315 1.3×	210 1.4×	38 0.6×	45 0.9×	47 1.2×	10	513
Stjepan Oreški Croatia	6	337 1.4×	210 1.4×	35 0.5×	44 0.9×	38 1.0×	9	531
Ming-Fu Hsu Taiwan	10	255 1.0×	237 1.6×	30 0.5×	143 2.9×	23 0.6×	27	467
Filip Rudziński Poland	8	212 0.9×	41 0.3×	31 0.5×	31 0.6×	20 0.5×	24	313
Pierre-Édouard Portier France	5	363 1.5×	145 1.0×	44 0.7×	54 1.1×	33 0.9×	11	414
Michiel van Wezel Netherlands	9	116 0.5×	94 0.6×	21 0.3×	46 0.9×	15 0.4×	21	287
Hangjun Zhou China	10	99 0.4×	39 0.3×	24 0.4×	99 2.0×	12 0.3×	34	307
Liyun He-Guelton Germany	6	391 1.6×	158 1.1×	47 0.7×	55 1.1×	36 0.9×	8	438
Sylvie Calabretto France	6	378 1.5×	145 1.0×	43 0.7×	54 1.1×	42 1.1×	21	432

Countries citing papers authored by Wenguo Ai

Since Specialization

Citations

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

Fields of papers citing papers by Wenguo Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenguo Ai

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

All Works

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9 of 9 papers shown

1.

Sun, Jie, et al.. (2022). Multiclass financial distress prediction based on one‐versus‐one decomposition integrated with improved decision‐directed acyclic graph. Journal of Forecasting. 42(5). 1167–1186. 4 indexed citations

2.

Sun, Jie, et al.. (2021). Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods. Information Sciences. 559. 153–170. 92 indexed citations

3.

Sun, Jie, et al.. (2021). Dynamic financial distress prediction based on class-imbalanced data batches. International Journal of Financial Engineering. 8(3). 2150026–2150026. 3 indexed citations

4.

Sun, Jie, et al.. (2019). Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting. Information Fusion. 54. 128–144. 263 indexed citations breakdown →

5.

Wang, Yanqing, et al.. (2019). Redesigning flipped classrooms: a learning model and its effects on student perceptions. Higher Education. 78(4). 711–728. 23 indexed citations

6.

Sun, Jie, Mengjie Zhou, Wenguo Ai, & Hui Li. (2018). Dynamic prediction of relative financial distress based on imbalanced data stream: from the view of one industry. Risk Management. 21(4). 215–242. 14 indexed citations

7.

Wang, Yanqing, et al.. (2015). Toward Motivating Participants to Assess Peers' Work More Fairly: Taking Programing Language Learning as an Example.. arXiv (Cornell University). 52(2). 180–198. 6 indexed citations

8.

Wang, Yanqing, et al.. (2015). Toward Motivating Participants to Assess Peers’ Work More Fairly. Journal of Educational Computing Research. 52(2). 180–198. 6 indexed citations

9.

Ai, Wenguo, Jie Sun, & Hui Li. (2005). A distributed marketing decision support system based on multi-intelligent-agent. 1. 233–238. 7 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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