Xinyan Yan

3.5k total citations · 1 hit paper
67 papers, 2.3k citations indexed

About

Xinyan Yan is a scholar working on Organic Chemistry, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, Xinyan Yan has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 15 papers in Materials Chemistry and 11 papers in Aerospace Engineering. Recurrent topics in Xinyan Yan's work include Surfactants and Colloidal Systems (14 papers), Corporate Finance and Governance (10 papers) and Pickering emulsions and particle stabilization (9 papers). Xinyan Yan is often cited by papers focused on Surfactants and Colloidal Systems (14 papers), Corporate Finance and Governance (10 papers) and Pickering emulsions and particle stabilization (9 papers). Xinyan Yan collaborates with scholars based in China, United States and France. Xinyan Yan's co-authors include Rui Shen, Feng Mai, Kai Li, Y. A. Chang, Byron Boots, Fanyou Xie, Shibin Shang, Zhanqian Song, Zhaolan Zhai and Xiaoping Rao and has published in prestigious journals such as Applied Physics Letters, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xinyan Yan

64 papers receiving 2.2k citations

Hit Papers

Measuring Corporate Culture Using Machine Learning 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinyan Yan China 25 530 462 435 341 274 67 2.3k
Yue Pan China 24 69 0.1× 314 0.7× 126 0.3× 103 0.3× 167 0.6× 100 3.2k
Jun Wang China 33 182 0.3× 102 0.2× 181 0.4× 76 0.2× 83 0.3× 258 4.4k
Chih‐Chiang Chen Taiwan 29 172 0.3× 293 0.6× 93 0.2× 47 0.1× 159 0.6× 133 3.5k
Shaojun Wang China 27 388 0.7× 47 0.1× 467 1.1× 41 0.1× 208 0.8× 173 2.9k
Chang‐Yong Lee South Korea 35 392 0.7× 145 0.3× 283 0.7× 49 0.1× 24 0.1× 201 3.6k
Kai Leung Yung Hong Kong 26 239 0.5× 157 0.3× 235 0.5× 10 0.0× 204 0.7× 209 2.6k
Feng Gu United States 27 193 0.4× 176 0.4× 74 0.2× 860 2.5× 149 0.5× 169 2.8k
Dong Chen China 24 59 0.1× 349 0.8× 190 0.4× 37 0.1× 73 0.3× 109 2.0k
Jia Zhu China 31 97 0.2× 81 0.2× 417 1.0× 33 0.1× 431 1.6× 204 3.7k

Countries citing papers authored by Xinyan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xinyan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyan Yan. A scholar is included among the top collaborators of Xinyan Yan 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 Xinyan Yan. Xinyan Yan 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.
Yan, Xinyan, Xiangyu Lin, Jie Lü, et al.. (2024). Tough and temperature-tolerance cellulose/polyacrylic acid/bentonite hydrogel with high ionic conductivity enables self-powered triboelectric wearable electronic devices. Carbohydrate Polymers. 344. 122552–122552. 13 indexed citations
2.
Ahern, Kenneth R., Lei Kong, & Xinyan Yan. (2024). The Anatomy of Concentration: New Evidence from a Unified Framework. SSRN Electronic Journal.
3.
Shao, Lin, Yu‐Chung Chang, Baoming Zhao, et al.. (2023). Bona fide upcycling strategy of anhydride cured epoxy and reutilization of decomposed dual monomers into multipurpose applications. Chemical Engineering Journal. 464. 142735–142735. 25 indexed citations
4.
5.
Chen, Carl R., et al.. (2022). Do credit market accessibility and legal protection shape corporate innovation?. The Journal of Financial Research. 45(3). 719–754. 2 indexed citations
6.
Yan, Xinyan, et al.. (2021). Let’s take a smooth break: Stock return predictability revisited. International Review of Economics & Finance. 75. 300–314. 2 indexed citations
7.
Zhai, Zhaolan, Shengfeng Ye, Xinyan Yan, et al.. (2020). pH-Responsive Wormlike Micelles Formed by an Anionic Surfactant Derived from Rosin. Journal of Agricultural and Food Chemistry. 68(37). 10063–10070. 32 indexed citations
8.
Yan, Xinyan, et al.. (2019). Hybrids of CO2-Responsive Water-Redispersible Single-Walled Carbon Nanotubes by a Surfactant Based on Natural Rosin. ACS Omega. 4(21). 19478–19482. 3 indexed citations
9.
Gu, Cheng, Yan Lu, Emre Cinkilic, et al.. (2019). Predicting grain structure in high pressure die casting of aluminum alloys: A coupled cellular automaton and process model. Computational Materials Science. 161. 64–75. 42 indexed citations
10.
Cheng, Ching-An, Xinyan Yan, Nathan Ratliff, & Byron Boots. (2019). Predictor-Corrector Policy Optimization. International Conference on Machine Learning. 1151–1161. 3 indexed citations
11.
Zhai, Zhaolan, et al.. (2018). Reversible dispersion and precipitation of single-walled carbon nanotubes using a pH-responsive rigid surfactant. Chemical Communications. 54(86). 12171–12173. 21 indexed citations
12.
Yan, Xinyan, et al.. (2018). CO2-Responsive Pickering Emulsions Stabilized by a Bio-based Rigid Surfactant with Nanosilica. Journal of Agricultural and Food Chemistry. 66(41). 10769–10776. 36 indexed citations
13.
Cheng, Ching-An, Xinyan Yan, Nolan Wagener, & Byron Boots. (2018). Fast Policy Learning through Imitation and Reinforcement. Uncertainty in Artificial Intelligence. 845–855. 4 indexed citations
14.
Pan, Yunpeng, Ching-An Cheng, Kamil Saigol, et al.. (2017). Imitation Learning for Agile Autonomous Driving. arXiv (Cornell University). 1 indexed citations
15.
Zhai, Zhaolan, Xinyan Yan, Zhanqian Song, Shibin Shang, & Xiaoping Rao. (2017). Annular and threadlike wormlike micelles formed by a bio-based surfactant containing an extremely large hydrophobic group. Soft Matter. 14(4). 499–507. 51 indexed citations
16.
Yan, Xinyan, Zhaolan Zhai, Zhanqian Song, Shibin Shang, & Xiaoping Rao. (2017). Synthesis of comb-like polymeric surfactants with a tricyclic rigid core and their use as dispersants in pymetrozine water suspension concentrates. RSC Advances. 7(88). 55741–55747. 17 indexed citations
17.
Yan, Xinyan, et al.. (2017). Synthesis and properties of polymerized terpene maleic anhydride polyethelene glycol ester polymer surfactants.. Linchan huaxue yu gongye. 37(2). 129–134. 1 indexed citations
18.
Pan, Yunpeng, Xinyan Yan, Evangelos A. Theodorou, & Byron Boots. (2017). Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control.. International Conference on Machine Learning. 2760–2768. 11 indexed citations
19.
Liu, Li, et al.. (2016). Synthesis and Antifeedant Activities of Rosin-Based Esters Against Armyworm. Combinatorial Chemistry & High Throughput Screening. 19(3). 193–199. 5 indexed citations
20.
Yan, Xinyan. (2001). Thermodynamic and solidification modeling coupled with experimental investigation of the multicomponent aluminum alloys. PhDT. 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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