Yin-Jia Zhang

2.9k total citations · 1 hit paper
14 papers, 2.6k citations indexed

About

Yin-Jia Zhang is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Yin-Jia Zhang has authored 14 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Renewable Energy, Sustainability and the Environment, 8 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Yin-Jia Zhang's work include Electrocatalysts for Energy Conversion (9 papers), Advanced battery technologies research (5 papers) and CO2 Reduction Techniques and Catalysts (5 papers). Yin-Jia Zhang is often cited by papers focused on Electrocatalysts for Energy Conversion (9 papers), Advanced battery technologies research (5 papers) and CO2 Reduction Techniques and Catalysts (5 papers). Yin-Jia Zhang collaborates with scholars based in United States, Singapore and China. Yin-Jia Zhang's co-authors include Andrew A. Peterson, Ronald Michalsky, Vijay A. Sethuraman, Hongyi Zhang, Shouheng Sun, Haifeng Lv, Qing Li, Wenlei Zhu, Boon Siang Yeo and Yilin Deng and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Applied Catalysis B: Environmental.

In The Last Decade

Yin-Jia Zhang

14 papers receiving 2.6k citations

Hit Papers

align trajectories

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.

Active and Selective Conversion of CO₂ to CO on Ultrathin Au Nanowires

2014 788 citations Wenlei Zhu, Yin-Jia Zhang et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yin-Jia Zhang United States	13	2.3k	1.1k	951	828	161	14	2.6k
Ruikuan Xie China	18	1.8k 0.8×	1.1k 1.0×	764 0.8×	546 0.7×	80 0.5×	38	2.3k
Zhixiu Liang United States	20	2.4k 1.1×	1.2k 1.1×	854 0.9×	1.2k 1.4×	96 0.6×	35	2.7k
Su-Heng Wang China	14	1.5k 0.7×	883 0.8×	989 1.0×	401 0.5×	116 0.7×	15	2.0k
Hai Feng Wang China	20	2.2k 1.0×	1.5k 1.4×	802 0.8×	451 0.5×	60 0.4×	57	2.5k
Koen Bertens Canada	18	1.8k 0.8×	1.1k 1.0×	1.5k 1.5×	1.1k 1.3×	117 0.7×	23	2.8k
Chubai Chen United States	17	1.4k 0.6×	687 0.6×	398 0.4×	914 1.1×	143 0.9×	20	1.9k
Clara Rettenmaier Germany	22	2.7k 1.2×	1.2k 1.1×	799 0.8×	1.6k 1.9×	87 0.5×	31	3.2k
Huangjingwei Li China	26	2.7k 1.2×	1.3k 1.2×	1.6k 1.7×	637 0.8×	79 0.5×	35	3.2k
Da Hye Won South Korea	29	3.5k 1.5×	1.4k 1.3×	1.1k 1.2×	1.9k 2.4×	180 1.1×	56	3.9k
Anthony Shoji Hall United States	16	1.5k 0.7×	600 0.6×	579 0.6×	696 0.8×	64 0.4×	27	1.7k

Countries citing papers authored by Yin-Jia Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Yin-Jia Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin-Jia Zhang. 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 Yin-Jia Zhang. The network helps show where Yin-Jia Zhang may publish in the future.

Co-authorship network of co-authors of Yin-Jia Zhang

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

All Works

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14 of 14 papers shown

Kim, Ju Ye, Per Lindgren, Yin-Jia Zhang, et al.. (2021). Sulfur promotes hydrogen evolution on molybdenum carbide catalysts. Materials Advances. 2(14). 4867–4875. 7 indexed citations

Zhang, Hongyi, Yin-Jia Zhang, Yuyang Li, et al.. (2019). Cu nanowire-catalyzed electrochemical reduction of CO or CO₂. Nanoscale. 11(25). 12075–12079. 48 indexed citations

Zhang, Yin-Jia, Alireza Khorshidi, Georg Kastlunger, & Andrew A. Peterson. (2018). The potential for machine learning in hybrid QM/MM calculations. The Journal of Chemical Physics. 148(24). 241740–241740. 45 indexed citations

Kim, Seok Ki, Yang Qiu, Yin-Jia Zhang, Robert H. Hurt, & Andrew A. Peterson. (2018). Nanocomposites of transition-metal carbides on reduced graphite oxide as catalysts for the hydrogen evolution reaction. Applied Catalysis B: Environmental. 235. 36–44. 93 indexed citations

Wang, Zhongying, Yin-Jia Zhang, Muchun Liu, Andrew A. Peterson, & Robert H. Hurt. (2017). Oxidation suppression during hydrothermal phase reversion allows synthesis of monolayer semiconducting MoS₂ in stable aqueous suspension. Nanoscale. 9(17). 5398–5403. 36 indexed citations

Ting, Louisa Rui Lin, Yilin Deng, Liang Ma, et al.. (2016). Catalytic Activities of Sulfur Atoms in Amorphous Molybdenum Sulfide for the Electrochemical Hydrogen Evolution Reaction. ACS Catalysis. 6(2). 861–867. 297 indexed citations

Kim, Seok Ki, Yin-Jia Zhang, Helen K. Bergstrom, Ronald Michalsky, & Andrew A. Peterson. (2016). Understanding the Low-Overpotential Production of CH₄ from CO₂ on Mo₂C Catalysts. ACS Catalysis. 6(3). 2003–2013. 81 indexed citations

Deng, Yilin, et al.. (2016). Operando Raman Spectroscopy of Amorphous Molybdenum Sulfide (MoS_x) during the Electrochemical Hydrogen Evolution Reaction: Identification of Sulfur Atoms as Catalytically Active Sites for H⁺ Reduction. ACS Catalysis. 6(11). 7790–7798. 235 indexed citations

Zhang, Yin-Jia & Andrew A. Peterson. (2015). Oxygen-induced changes to selectivity-determining steps in electrocatalytic CO₂ reduction. Physical Chemistry Chemical Physics. 17(6). 4505–4515. 48 indexed citations

10.

Zhang, Yin-Jia, Vijay A. Sethuraman, Ronald Michalsky, & Andrew A. Peterson. (2014). Competition between CO₂ Reduction and H₂ Evolution on Transition-Metal Electrocatalysts. ACS Catalysis. 4(10). 3742–3748. 440 indexed citations

11.

Michalsky, Ronald, Yin-Jia Zhang, & Andrew A. Peterson. (2014). Trends in the Hydrogen Evolution Activity of Metal Carbide Catalysts. ACS Catalysis. 4(5). 1274–1278. 368 indexed citations

12.

Zhu, Wenlei, Yin-Jia Zhang, Hongyi Zhang, et al.. (2014). Active and Selective Conversion of CO₂ to CO on Ultrathin Au Nanowires. Journal of the American Chemical Society. 136(46). 16132–16135. 788 indexed citations breakdown →

13.

Michalsky, Ronald, Yin-Jia Zhang, Andrew J. Medford, & Andrew A. Peterson. (2014). Departures from the Adsorption Energy Scaling Relations for Metal Carbide Catalysts. The Journal of Physical Chemistry C. 118(24). 13026–13034. 117 indexed citations

14.

Jiang, Shuqin, Yan Chen, Haihua Pan, Yin-Jia Zhang, & Ruikang Tang. (2013). Faster nucleation at lower pH: amorphous phase mediated nucleation kinetics. Physical Chemistry Chemical Physics. 15(30). 12530–12530. 40 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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