Ying Shi

7.8k total citations
283 papers, 6.7k citations indexed

About

Ying Shi is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Ying Shi has authored 283 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Materials Chemistry, 77 papers in Electronic, Optical and Magnetic Materials and 62 papers in Electrical and Electronic Engineering. Recurrent topics in Ying Shi's work include Photochemistry and Electron Transfer Studies (56 papers), Metal-Organic Frameworks: Synthesis and Applications (34 papers) and Lanthanide and Transition Metal Complexes (33 papers). Ying Shi is often cited by papers focused on Photochemistry and Electron Transfer Studies (56 papers), Metal-Organic Frameworks: Synthesis and Applications (34 papers) and Lanthanide and Transition Metal Complexes (33 papers). Ying Shi collaborates with scholars based in China, United States and Japan. Ying Shi's co-authors include Hang Yin, Bin Zhao, Chun‐Shuai Cao, Chaofan Sun, Dajun Ding, Mingxing Jin, Huzhi Zheng, Yijuan Long, Hang Xu and Jianhui Han and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Ying Shi

275 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Shi China 45 3.9k 1.4k 1.4k 1.4k 1.3k 283 6.7k
Ayan Datta India 48 4.4k 1.1× 1.3k 0.9× 2.1k 1.5× 1.1k 0.7× 2.3k 1.8× 314 8.3k
Adam L. Tenderholt United States 12 2.6k 0.7× 1.8k 1.2× 1.3k 0.9× 613 0.4× 2.1k 1.7× 15 5.9k
Mehdi D. Esrafili Iran 44 4.0k 1.0× 673 0.5× 942 0.7× 2.1k 1.5× 1.9k 1.5× 375 7.2k
Karol M. Langner United States 11 2.6k 0.7× 1.7k 1.2× 1.3k 0.9× 595 0.4× 2.1k 1.6× 20 5.6k
Cherumuttathu H. Suresh India 49 2.6k 0.7× 669 0.5× 954 0.7× 1.6k 1.1× 3.8k 3.0× 266 7.8k
Johannes G. Vos Ireland 54 3.7k 1.0× 1.7k 1.2× 2.9k 2.0× 634 0.4× 2.4k 1.9× 305 10.2k
James F. Wishart United States 44 1.8k 0.5× 348 0.2× 1.6k 1.1× 1.4k 1.0× 1.3k 1.0× 170 7.3k
Simona Fantacci Italy 46 6.5k 1.6× 1.1k 0.8× 3.1k 2.1× 1.2k 0.8× 1.2k 0.9× 115 10.6k
Brendan Twamley United States 60 4.1k 1.0× 1.2k 0.8× 776 0.5× 1.8k 1.3× 5.6k 4.4× 389 11.5k
Sheshanath V. Bhosale India 43 4.7k 1.2× 920 0.6× 2.7k 1.9× 503 0.4× 2.4k 1.9× 300 8.8k

Countries citing papers authored by Ying Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Shi. A scholar is included among the top collaborators of Ying Shi 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 Ying Shi. Ying Shi 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.
Chen, Fengjiao, Keyi Wang, Yuqing Yao, et al.. (2025). Synthesis, structures and biological activities of two butterfly-shaped Yb4 complexes. Polyhedron. 272. 117473–117473. 1 indexed citations
2.
Shi, Ying, Yuan Liu, Bingwen Qiu, et al.. (2025). Infrared and visible image fusion via pre-fusion compensation and visual-gradient saliency detection. Infrared Physics & Technology. 150. 106000–106000. 1 indexed citations
4.
Wang, Peijian, Yinghui Wang, Jianbing Zhang, et al.. (2022). Generating and Capturing Secondary Hot Carriers in Monolayer Tungsten Dichalcogenides. The Journal of Physical Chemistry Letters. 13(25). 5703–5710. 2 indexed citations
5.
Wang, Qinglin, Peifang Li, Dandan Sang, et al.. (2022). Pressure-induced transition from pure electronic to mixed ionic-electronic conduction in strontium hydride. Applied Physics Letters. 120(7). 3 indexed citations
6.
Shrestha, Shreetu, Exian Liu, L. B. Coleman, et al.. (2021). In-situ observation of trapped carriers in organic metal halide perovskite films with ultra-fast temporal and ultra-high energetic resolutions. Nature Communications. 12(1). 1636–1636. 16 indexed citations
7.
Li, You, et al.. (2021). Intramolecular charge transfer dynamics in the excited states of diphenylamine substituted 1,3,4-oxadiazole derivatives. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 267(Pt 1). 120463–120463. 7 indexed citations
8.
Wang, Wen‐Min, Yu Gao, Na Qiao, et al.. (2020). Construction of a family of Ln3 clusters using multidentate Schiff base and β-diketonate ligands: fluorescence properties, magnetocaloric effect and slow magnetic relaxation. New Journal of Chemistry. 44(22). 9230–9237. 21 indexed citations
9.
Lei, Xiaofang, Jun Wang, Ying Shi, et al.. (2020). Constructing novel red phosphorus decorated iron-based metal organic framework composite with efficient photocatalytic performance. Applied Surface Science. 528. 146963–146963. 34 indexed citations
11.
Liu, Exian, Hua Zhu, Jun Yi, et al.. (2019). Manipulating Charge Transfer from Core to Shell in CdSe/CdS/Au Heterojunction Quantum Dots. ACS Applied Materials & Interfaces. 11(51). 48551–48555. 13 indexed citations
12.
Hu, Xuemei, Chaoqun Sun, Ying Shi, Yijuan Long, & Huzhi Zheng. (2019). Colorimetric sensing of alkaline phosphatase and α-fetoprotein based on the photoinduced oxidase activity of fluorescein. New Journal of Chemistry. 43(11). 4525–4530. 8 indexed citations
14.
Shi, Ying, Li Liu, Yuanyuan Yu, Yijuan Long, & Huzhi Zheng. (2018). Acidic amino acids: A new-type of enzyme mimics with application to biosensing and evaluating of antioxidant behaviour. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 201. 367–375. 18 indexed citations
15.
Shi, Ying, Ning Huang, Chaoqun Sun, et al.. (2018). Competitive method for fluorescent dopamine detection in cerebrospinal fluid based on the peroxidase-like activity of ficin. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 209. 8–13. 12 indexed citations
16.
Liu, Li, Chaoqun Sun, Juan Yang, et al.. (2018). Fluorescein as a Visible‐Light‐Induced Oxidase Mimic for Signal‐Amplified Colorimetric Assay of Carboxylesterase by an Enzymatic Cascade Reaction. Chemistry - A European Journal. 24(23). 6148–6154. 84 indexed citations
17.
Shi, Ying, et al.. (2018). GTP as a peroxidase-mimic to mediate enzymatic cascade reaction for alkaline phosphatase detection and alkaline phosphatase-linked immunoassay. Sensors and Actuators B Chemical. 275. 43–49. 43 indexed citations
18.
Shi, Ying, et al.. (2018). Facile and sensitive detection of dopamine based on in situ formation of fluorescent polydopamine nanoparticles catalyzed by peroxidase-like ficin. Sensors and Actuators B Chemical. 263. 177–182. 36 indexed citations
19.
Wang, Bolun, Ying Mu, Hang Yin, et al.. (2018). Formation and origin of multicenter photoluminescence in zeolite-based carbogenic nanodots. Nanoscale. 10(22). 10650–10656. 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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