Wangdong Jiang

449 total citations
11 papers, 272 citations indexed

About

Wangdong Jiang is a scholar working on Artificial Intelligence, Marketing and Computer Networks and Communications. According to data from OpenAlex, Wangdong Jiang has authored 11 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Marketing and 1 paper in Computer Networks and Communications. Recurrent topics in Wangdong Jiang's work include Customer churn and segmentation (4 papers), Imbalanced Data Classification Techniques (2 papers) and Artificial Intelligence in Healthcare (1 paper). Wangdong Jiang is often cited by papers focused on Customer churn and segmentation (4 papers), Imbalanced Data Classification Techniques (2 papers) and Artificial Intelligence in Healthcare (1 paper). Wangdong Jiang collaborates with scholars based in China and United States. Wangdong Jiang's co-authors include Guang Sun, Yang Xiao, Guang Sun, Sha Fu, Hangjun Zhou, Xiaoping Fan, Shuting Hu, Fenghua Li, Shuang Zhou and Ying Cao and has published in prestigious journals such as Computers, materials & continua/Computers, materials & continua (Print), International Journal of Distributed Sensor Networks and International Journal of Embedded Systems.

In The Last Decade

Wangdong Jiang

10 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wangdong Jiang China	5	173	130	103	59	29	11	272
Radha Tamal Goswami India	8	237 1.4×	173 1.3×	150 1.5×	87 1.5×	13 0.4×	19	336
Faheem Masoodi India	9	149 0.9×	122 0.9×	81 0.8×	77 1.3×	15 0.5×	27	269
Kleber Vieira Brazil	6	200 1.2×	113 0.9×	94 0.9×	133 2.3×	15 0.5×	7	281
Theodoros Spyridopoulos United Kingdom	9	116 0.7×	79 0.6×	63 0.6×	65 1.1×	34 1.2×	21	196
Renata Borovica‐Gajic Australia	10	227 1.3×	98 0.8×	109 1.1×	93 1.6×	8 0.3×	34	325
Takao Okubo Japan	10	102 0.6×	80 0.6×	91 0.9×	211 3.6×	11 0.4×	44	277
Yiyun Zhou China	8	73 0.4×	101 0.8×	42 0.4×	51 0.9×	9 0.3×	16	207
Saiful Adli Ismail Malaysia	9	140 0.8×	92 0.7×	65 0.6×	98 1.7×	12 0.4×	33	255
Manfred Vielberth Germany	7	106 0.6×	36 0.3×	55 0.5×	133 2.3×	32 1.1×	14	233
Shinpei Ogata Japan	9	84 0.5×	65 0.5×	43 0.4×	156 2.6×	16 0.6×	59	250

Countries citing papers authored by Wangdong Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Wangdong Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangdong Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Jiang, Wangdong, et al.. (2023). XGBoost-Enhanced Prediction and Interpretation of Heart Disease Using SHAP Values. 738–742. 2 indexed citations

2.

Jiang, Wangdong, et al.. (2020). A Survey of Time Series Data Visualization Methods. 2(2). 105–117. 5 indexed citations

3.

Zhou, Hangjun, Guang Sun, Sha Fu, et al.. (2020). A Distributed Approach of Big Data Mining for Financial Fraud Detection in a Supply Chain. Computers, materials & continua/Computers, materials & continua (Print). 64(2). 1091–1105. 32 indexed citations

4.

Luo, Yushan, et al.. (2020). On the build and application of bank customer churn warning model. International Journal of Computational Science and Engineering. 22(4). 404–404. 1 indexed citations

5.

Jiang, Wangdong, et al.. (2020). On the build and application of bank customer churn warning model. International Journal of Computational Science and Engineering. 22(4). 404–404. 2 indexed citations

6.

Huang, Yuxuan, et al.. (2020). Using improved RFM model to classify consumer in big data environment. International Journal of Embedded Systems. 14(1). 54–54. 2 indexed citations

7.

Jiang, Wangdong, et al.. (2020). Using improved RFM model to classify consumer in big data environment. International Journal of Embedded Systems. 14(1). 54–54. 3 indexed citations

8.

Sun, Guang, Fenghua Li, & Wangdong Jiang. (2019). Brief Talk About Big Data Graph Analysis and Visualization. 1(1). 25–38. 9 indexed citations

9.

Sun, Guang, et al.. (2019). A Scalable Approach for Fraud Detection in Online E-Commerce Transactions with Big Data Analytics. Computers, materials & continua/Computers, materials & continua (Print). 60(1). 179–192. 18 indexed citations

10.

Jiang, Wangdong, et al.. (2019). The Analysis of China’s Integrity Situation Based on Big Data. 1(3). 117–134. 1 indexed citations

11.

Xiao, Yang, et al.. (2017). A survey of distributed denial-of-service attack, prevention, and mitigation techniques. International Journal of Distributed Sensor Networks. 13(12). 812126914–812126914. 197 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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