Dingding Wang

9.1k total citations · 1 hit paper
68 papers, 6.1k citations indexed

About

Dingding Wang is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Dingding Wang has authored 68 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 18 papers in Information Systems and 13 papers in Signal Processing. Recurrent topics in Dingding Wang's work include Topic Modeling (21 papers), Advanced Text Analysis Techniques (17 papers) and Natural Language Processing Techniques (12 papers). Dingding Wang is often cited by papers focused on Topic Modeling (21 papers), Advanced Text Analysis Techniques (17 papers) and Natural Language Processing Techniques (12 papers). Dingding Wang collaborates with scholars based in United States, China and Australia. Dingding Wang's co-authors include Taghi M. Khoshgoftaar, Karl R. Weiss, Tao Li, Shenghuo Zhu, Yihong Gong, Yanfang Ye, Chris Ding, YE Dong-yi, Lei Li and Qingshan Jiang and has published in prestigious journals such as Small, Annals of Oncology and Expert Systems with Applications.

In The Last Decade

Dingding Wang

66 papers receiving 5.8k citations

Hit Papers

A survey of transfer learning 2016 2026 2019 2022 2016 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingding Wang United States 27 2.6k 1.0k 857 640 576 68 6.1k
Fuzhen Zhuang China 30 3.3k 1.3× 1.5k 1.5× 792 0.9× 414 0.6× 377 0.7× 116 6.7k
BengioYoshua 9 3.7k 1.4× 1.8k 1.8× 626 0.7× 705 1.1× 390 0.7× 10 6.8k
Hengshu Zhu China 34 3.5k 1.3× 1.3k 1.3× 1.9k 2.2× 526 0.8× 541 0.9× 186 8.1k
Lipo Wang Singapore 36 2.2k 0.8× 1.4k 1.4× 464 0.5× 558 0.9× 475 0.8× 185 6.8k
Yu Zhang China 41 4.1k 1.6× 1.9k 1.8× 536 0.6× 516 0.8× 369 0.6× 287 7.6k
Václav Snåšel Czechia 38 2.7k 1.0× 907 0.9× 970 1.1× 516 0.8× 1.0k 1.8× 572 7.4k
Simon Fong Macao 39 2.8k 1.1× 942 0.9× 934 1.1× 536 0.8× 917 1.6× 428 7.1k
Igor Kononenko Slovenia 26 3.7k 1.4× 1.1k 1.1× 904 1.1× 504 0.8× 240 0.4× 117 7.9k
Yike Guo United Kingdom 45 1.4k 0.5× 1.1k 1.1× 1.0k 1.2× 637 1.0× 1.2k 2.0× 323 8.4k
Dale Schuurmans Canada 35 4.2k 1.6× 1.9k 1.8× 630 0.7× 490 0.8× 478 0.8× 172 7.7k

Countries citing papers authored by Dingding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingding Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingding Wang. A scholar is included among the top collaborators of Dingding Wang 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 Dingding Wang. Dingding Wang 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.
Zhang, Yingyu, Dingding Wang, Quanzhong Ren, et al.. (2025). Nanoparticle‐Driven Skeletal Muscle Repair and Regeneration Through Macrophage‐Muscle Stem Cell Interaction. Small. 21(18). e2412611–e2412611. 3 indexed citations
2.
Wang, Dingding, Jiawei Zhao, Yanan Zhang, et al.. (2024). Development of a diagnostic model for biliary atresia based on MMP7 and serological tests using machine learning. Pediatric Surgery International. 40(1). 203–203. 3 indexed citations
3.
Wu, Jian, Dingding Wang, Sheng Lu, et al.. (2021). Human umbilical cord Wharton's jelly-derived mesenchymal stem cell transplantation could improve diabetic intracavernosal pressure. Asian Journal of Andrology. 24(2). 171–175. 6 indexed citations
4.
Jiang, Haoming, et al.. (2019). On Computation and Generalization of Generative Adversarial Networks under Spectrum Control. International Conference on Learning Representations. 6 indexed citations
5.
Liu, Feng, et al.. (2019). Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning. 667–672. 1 indexed citations
6.
Lin, Shuyi, Wenxing Hong, Dingding Wang, & Tao Li. (2017). A survey on expert finding techniques. Journal of Intelligent Information Systems. 49(2). 255–279. 65 indexed citations
7.
Weiss, Karl R., Taghi M. Khoshgoftaar, & Dingding Wang. (2016). A survey of transfer learning. Journal Of Big Data. 3(1). 4028 indexed citations breakdown →
8.
Li, Tao, Wubai Zhou, Chunqiu Zeng, et al.. (2016). DI-DAP. 1593–1602. 7 indexed citations
9.
Wang, Dingding, et al.. (2015). Mining library and university data to understand library use patterns. The Electronic Library. 33(3). 355–372. 42 indexed citations
10.
Guo, Ziwen, et al.. (2014). Pathological Characteristics of Liver Allografts From Donation After Brain Death Followed By Cardiac Death in Pigs.. Transplantation. 98. 374–374. 1 indexed citations
11.
Liu, Lin, et al.. (2014). Pretreatment of Transfused Donor Splenocytes and Allografts With Mitomycin C Attenuates Acute Rejection in Heart Transplantation in Mice. Transplantation Proceedings. 46(4). 1169–1174. 7 indexed citations
12.
Wang, Dingding. (2013). A Research on Tourism Destination Image Perception of Mountain Resorts——A Case Study of Mountain Wutai Scenery Area in China. Journal of Mountain Science. 1 indexed citations
13.
Wang, Jianbo, Hao Liang, Ping Li, et al.. (2012). Attributable causes of cancer in China. Annals of Oncology. 23(11). 2983–2989. 86 indexed citations
14.
Wang, Dingding, Shenghuo Zhu, Tao Li, & Yihong Gong. (2009). Multi-document summarization using sentence-based topic models. 297–297. 109 indexed citations
15.
Shao, Bo, Mitsunori Ogihara, Dingding Wang, & Tao Li. (2009). Music Recommendation Based on Acoustic Features and User Access Patterns. IEEE Transactions on Audio Speech and Language Processing. 17(8). 1602–1611. 68 indexed citations
16.
Ye, Yanfang, Dingding Wang, Tao Li, YE Dong-yi, & Qingshan Jiang. (2008). An intelligent PE-malware detection system based on association mining. 4(4). 323–334. 130 indexed citations
17.
Zhu, Shenghuo, Tao Li, Zhiyuan Chen, Dingding Wang, & Yihong Gong. (2008). Dynamic active probing of helpdesk databases. Proceedings of the VLDB Endowment. 1(1). 748–760. 3 indexed citations
18.
Qiu, Jiehua, J. Li, Gang Huang, et al.. (2007). Construction and Functional Evaluation of an Autologous Thymokidney Model in the Rat. Transplantation Proceedings. 39(10). 3409–3414. 1 indexed citations
19.
Wang, Dingding, et al.. (2007). One Year Results of Preoperative Single Bolus ATG-Fresenius Induction Therapy in Sensitized Renal Transplant Recipients. Transplantation Proceedings. 39(1). 69–72. 7 indexed citations
20.
Wang, Dingding, et al.. (2006). A Concurrent Transmission Control Protocol. 27. 1796–1800. 4 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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