Jiamiao Wang

502 total citations · 1 hit paper
18 papers, 391 citations indexed

About

Jiamiao Wang is a scholar working on Artificial Intelligence, Pharmaceutical Science and Information Systems. According to data from OpenAlex, Jiamiao Wang has authored 18 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Pharmaceutical Science and 3 papers in Information Systems. Recurrent topics in Jiamiao Wang's work include Advanced Text Analysis Techniques (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Topic Modeling (4 papers). Jiamiao Wang is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Topic Modeling (4 papers). Jiamiao Wang collaborates with scholars based in China, United States and Australia. Jiamiao Wang's co-authors include Chen Huang, Wu Deng, Xiangbing Zhou, Huayue Chen, Xiaojuan Ran, Fude Cui, Ruofei Du, Youjie Wang, Lijie Zhao and Kai Shi and has published in prestigious journals such as Journal of Medicinal Chemistry, International Journal of Pharmaceutics and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Jiamiao Wang

16 papers receiving 378 citations

Hit Papers

Adaptive cylinder vector particle swarm optimization with... 2023 2026 2024 2025 2023 40 80 120
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.

  1. Adaptive cylinder vector particle swarm optimization with differential evolution for UAV path planning
    2023 122 citations Chen Huang, Xiangbing Zhou et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiamiao Wang China 10 103 82 60 60 41 18 391
Yibin Tang China 12 9 0.1× 121 1.5× 25 0.4× 11 0.2× 19 0.5× 31 416
Bowen Li China 11 29 0.3× 12 0.1× 24 0.4× 179 3.0× 33 0.8× 44 494
Stephen Cass United States 7 7 0.1× 72 0.9× 57 0.9× 20 0.3× 17 0.4× 56 493
Shengyan Zhou China 12 44 0.4× 281 3.4× 58 1.0× 66 1.1× 11 0.3× 22 597
Nam-Ho Kim South Korea 8 31 0.3× 29 0.4× 11 0.2× 8 0.1× 146 3.6× 51 427
Shiyu Huang China 9 18 0.2× 35 0.4× 57 0.9× 9 0.1× 15 0.4× 18 275
Francisco Chávez Spain 10 13 0.1× 42 0.5× 68 1.1× 4 0.1× 22 0.5× 44 397
Jingyu Shao Australia 6 32 0.3× 32 0.4× 37 0.6× 4 0.1× 66 1.6× 16 230

Countries citing papers authored by Jiamiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiamiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiamiao Wang

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

All Works

18 of 18 papers shown
1.
Dai, Yi, Yang Zhang, Yupei Zhang, & Jiamiao Wang. (2024). A self-assembling conjugate of SN38 with aminoguanidine for simultaneously suppressing proliferation and migration of breast cancer cells. New Journal of Chemistry. 48(35). 15590–15598. 1 indexed citations
2.
Wang, Jiamiao, et al.. (2024). Short-text topic modeling with dual reinforcement from internal and external semantics. International Journal of Machine Learning and Cybernetics. 16(5-6). 2905–2920.
3.
Huang, Chen, Xiangbing Zhou, Xiaojuan Ran, et al.. (2023). Adaptive cylinder vector particle swarm optimization with differential evolution for UAV path planning. Engineering Applications of Artificial Intelligence. 121. 105942–105942. 122 indexed citations breakdown →
4.
Wang, Jitong, Jia Zeng, Zhidan Liu, et al.. (2022). Promising Strategies for Transdermal Delivery of Arthritis Drugs: Microneedle Systems. Pharmaceutics. 14(8). 1736–1736. 42 indexed citations
5.
Wang, Jiamiao, Ling Chen, Lei Li, & Xindong Wu. (2021). BiTTM: A Core Biterms-Based Topic Model for Targeted Analysis. Applied Sciences. 11(21). 10162–10162. 3 indexed citations
6.
7.
Liu, Binbin, Jiamiao Wang, Lijie Zhao, et al.. (2020). A review of high shear wet granulation for better process understanding, control and product development. Powder Technology. 381. 204–223. 55 indexed citations
8.
Ming, Liangshan, Jiamiao Wang, Ting Huang, et al.. (2020). Empirical prediction model based process optimization for droplet size and spraying angle during pharmaceutical fluidized bed granulation. Pharmaceutical Development and Technology. 25(6). 720–728. 5 indexed citations
9.
Wang, Jiamiao, Xindong Wu, & Lei Li. (2018). A framework for semantic connection based topic evolution with DeepWalk. Intelligent Data Analysis. 22(1). 211–237. 4 indexed citations
10.
Wang, Jiamiao, Ling Chen, Lu Qin, & Xindong Wu. (2018). ASTM: An Attentional Segmentation Based Topic Model for Short Texts. 577–586. 11 indexed citations
11.
Li, Lei, Chuan Zhou, Jianping He, et al.. (2017). Collective semantic behavior extraction in social networks. Journal of Computational Science. 28. 236–244. 10 indexed citations
12.
Wang, Jiamiao. (2017). Semantic Connection Based Topic Evolution. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1).
13.
Wang, Jiamiao, Lei Li, & Xindong Wu. (2017). LDA-Based Topic Strength Analysis. Computing and Informatics. 36(6). 1283–1311. 4 indexed citations
14.
Salituro, Francesco G., Boyd L. Harrison, Richard T. Beresis, et al.. (2015). Neuroactive Steroids. 1. Positive Allosteric Modulators of the (γ-Aminobutyric Acid) A Receptor: Structure–Activity Relationships of Heterocyclic Substitution at C-21. Journal of Medicinal Chemistry. 58(8). 3500–3511. 43 indexed citations
15.
Zheng, Xinhu, et al.. (2015). Two Phase Based Spammer Detection in Weibo. 10. 932–939. 6 indexed citations
16.
Cui, Fude, et al.. (2008). The Effect of Chitosan Molecular Weight on the Characteristics of Spray-Dried Methotrexate-Loaded Chitosan Microspheres for Nasal Administration. Drug Development and Industrial Pharmacy. 35(3). 379–386. 50 indexed citations
17.
Cui, Fude, et al.. (2007). Preparation of an enteric-soluble solid-state emulsion using oily drugs. International Journal of Pharmaceutics. 338(1-2). 152–156. 9 indexed citations
18.
Cui, Fude, et al.. (2007). Preparation of redispersible dry emulsion using Eudragit E100 as both solid carrier and unique emulsifier. Colloids and Surfaces A Physicochemical and Engineering Aspects. 307(1-3). 137–141. 16 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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