Yuandou Wang

785 total citations · 1 hit paper
37 papers, 566 citations indexed

About

Yuandou Wang is a scholar working on Biomaterials, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yuandou Wang has authored 37 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomaterials, 11 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Yuandou Wang's work include Nanoparticle-Based Drug Delivery (12 papers), Cloud Computing and Resource Management (8 papers) and Advanced Polymer Synthesis and Characterization (7 papers). Yuandou Wang is often cited by papers focused on Nanoparticle-Based Drug Delivery (12 papers), Cloud Computing and Resource Management (8 papers) and Advanced Polymer Synthesis and Characterization (7 papers). Yuandou Wang collaborates with scholars based in China, France and Netherlands. Yuandou Wang's co-authors include Feng Su, Suming Li, Yunni Xia, Yawen Li, Peng Chen, Wanbo Zheng, Hong Xie, Eddy Petit, Chenglong Li and Xin Shen and has published in prestigious journals such as IEEE Access, Journal of Pharmaceutical Sciences and International Journal of Biological Macromolecules.

In The Last Decade

Yuandou Wang

34 papers receiving 556 citations

Hit Papers

Multi-Objective Workflow Scheduling With Deep-Q-Network-B... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuandou Wang China 12 159 152 141 85 75 37 566
Chunhua Gu China 15 124 0.8× 375 2.5× 230 1.6× 56 0.7× 57 0.8× 48 663
Nanxi Chen China 12 90 0.6× 196 1.3× 102 0.7× 63 0.7× 22 0.3× 29 564
Qinqin Tang China 16 44 0.3× 635 4.2× 244 1.7× 89 1.0× 137 1.8× 67 1.1k
Junxue Zhang China 18 60 0.4× 396 2.6× 305 2.2× 82 1.0× 49 0.7× 54 831
Seong-Bae Park South Korea 16 99 0.6× 77 0.5× 200 1.4× 81 1.0× 14 0.2× 133 1.0k
Fangyuan Li China 15 64 0.4× 117 0.8× 36 0.3× 170 2.0× 36 0.5× 54 895
Chuang Hu China 13 71 0.4× 347 2.3× 102 0.7× 213 2.5× 12 0.2× 72 1.1k
Xinyi Dai China 17 201 1.3× 32 0.2× 273 1.9× 226 2.7× 19 0.3× 65 1.2k
Zhongjin Li China 18 50 0.3× 598 3.9× 503 3.6× 47 0.6× 85 1.1× 66 1.1k
Chaoqun Li China 16 66 0.4× 192 1.3× 41 0.3× 428 5.0× 100 1.3× 64 969

Countries citing papers authored by Yuandou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuandou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuandou Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuandou Wang. A scholar is included among the top collaborators of Yuandou 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 Yuandou Wang. Yuandou 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.
Wang, Yuandou, et al.. (2024). D-VRE: From a Jupyter-enabled private research environment to decentralized collaborative research ecosystem. Blockchain Research and Applications. 6(1). 100244–100244.
2.
Wang, Yuandou, et al.. (2024). A Collaborative Framework for Facilitating Federated Learning among Jupyter Users. UvA-DARE (University of Amsterdam). 1–2. 1 indexed citations
3.
Wang, Yuandou, et al.. (2023). WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. Bioengineering. 10(10). 1144–1144. 6 indexed citations
4.
Wang, Yuandou, et al.. (2023). Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. UvA-DARE (University of Amsterdam). 1–2.
5.
Wang, Yuandou, Adrián Colomer, Jorge Igual, et al.. (2023). Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions. Applied Sciences. 13(2). 919–919. 4 indexed citations
6.
Song, Jie, et al.. (2023). Human umbilical cord blood mononuclear cells laden hydrogels made from carboxymethyl chitosan and oxidized hyaluronic acid for wound healing. Journal of Applied Polymer Science. 140(20). 6 indexed citations
7.
Geng, Jiahui, et al.. (2023). A Survey on Dataset Distillation: Approaches, Applications and Future Directions. UvA-DARE (University of Amsterdam). 6610–6618. 5 indexed citations
8.
Wang, Yuandou, et al.. (2023). Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. UvA-DARE (University of Amsterdam). 325–327.
9.
Zhao, Zhiming, Spiros Koulouzis, R. M. Bianchi, et al.. (2022). Notebook‐as‐a‐VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. Software Practice and Experience. 52(9). 1947–1966. 17 indexed citations
10.
Xia, Yunni, MengChu Zhou, Xin Luo, et al.. (2020). Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks. IEEE Transactions on Automation Science and Engineering. 18(3). 1012–1025. 18 indexed citations
11.
Petit, Eddy, Katarzyna Jelonek, Arkadiusz Orchel, et al.. (2020). Self-assembled micelles prepared from bio-based hydroxypropyl methyl cellulose and polylactide amphiphilic block copolymers for anti-tumor drug release. International Journal of Biological Macromolecules. 154. 39–47. 37 indexed citations
12.
Wang, Yuandou, Baogang Zhang, Feng Su, et al.. (2020). Bioresorbable hydrogels prepared by photo-initiated crosslinking of diacrylated PTMC-PEG-PTMC triblock copolymers as potential carrier of antitumor drugs. Saudi Pharmaceutical Journal. 28(3). 290–299. 14 indexed citations
13.
Li, Chenglong, et al.. (2020). Novel Thermosensitive Polymer-Modified Liposomes as Nano-Carrier of Hydrophobic Antitumor Drugs. Journal of Pharmaceutical Sciences. 109(8). 2544–2552. 22 indexed citations
14.
Wang, Yuandou, Wanbo Zheng, Yunni Xia, et al.. (2019). Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning. IEEE Access. 7. 39974–39982. 221 indexed citations breakdown →
16.
Petit, Eddy, et al.. (2019). Novel thermo-responsive micelles prepared from amphiphilic hydroxypropyl methyl cellulose-block-JEFFAMINE copolymers. International Journal of Biological Macromolecules. 135. 38–45. 27 indexed citations
17.
Su, Feng, Yun Peng, Chenglong Li, et al.. (2019). Novel self-assembled micelles of amphiphilic poly(2-ethyl-2-oxazoline) -poly(L-lactide) diblock copolymers for sustained drug delivery. Colloids and Surfaces A Physicochemical and Engineering Aspects. 566. 120–127. 25 indexed citations
18.
Xia, Yunni, Qiang He, Yuandou Wang, et al.. (2018). A Fluctuation-Aware Approach for Predictive Web Service Composition. Swinburne Research Bank (Swinburne University of Technology). 121–128. 10 indexed citations
19.
Su, Feng, Yuandou Wang, Xin Shen, et al.. (2018). Biocompatibility and in vivo degradation of chitosan based hydrogels as potential drug carrier. Journal of Biomaterials Science Polymer Edition. 29(13). 1515–1528. 39 indexed citations
20.
Zheng, Wanbo, Yuandou Wang, Yunni Xia, et al.. (2017). On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds. International Journal of Distributed Sensor Networks. 13(7). 812124619–812124619. 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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