Haoming Yu

844 total citations
24 papers, 643 citations indexed

About

Haoming Yu is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Catalysis. According to data from OpenAlex, Haoming Yu has authored 24 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 9 papers in Renewable Energy, Sustainability and the Environment and 8 papers in Catalysis. Recurrent topics in Haoming Yu's work include Advanced Memory and Neural Computing (8 papers), CO2 Reduction Techniques and Catalysts (7 papers) and Transition Metal Oxide Nanomaterials (6 papers). Haoming Yu is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), CO2 Reduction Techniques and Catalysts (7 papers) and Transition Metal Oxide Nanomaterials (6 papers). Haoming Yu collaborates with scholars based in United States, China and Singapore. Haoming Yu's co-authors include Jun Wang, Fangqi Yang, Shuguang Deng, Shriram Ramanathan, Zheling Zeng, Tae Joon Park, Subramanian K. R. S. Sankaranarayanan, A N M Nafiul Islam, Sukriti Manna and Abhronil Sengupta and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Haoming Yu

24 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haoming Yu United States	14	356	209	199	122	120	24	643
Gyeong‐Su Park South Korea	9	886 2.5×	110 0.5×	615 3.1×	164 1.3×	95 0.8×	14	1.1k
Nasir Ilyas China	12	313 0.9×	81 0.4×	221 1.1×	88 0.7×	26 0.2×	15	573
Rafael Schmitt Switzerland	8	598 1.7×	135 0.6×	746 3.7×	86 0.7×	135 1.1×	10	1.0k
Yuming Su China	13	134 0.4×	113 0.5×	304 1.5×	83 0.7×	62 0.5×	37	584
Xiaoting Zhu China	16	376 1.1×	57 0.3×	245 1.2×	122 1.0×	24 0.2×	36	703
Yuanhong Gao China	16	760 2.1×	298 1.4×	464 2.3×	202 1.7×	81 0.7×	36	1.0k
Lizhi Feng China	11	203 0.6×	91 0.4×	222 1.1×	43 0.4×	40 0.3×	14	373
Donggang Xie China	11	615 1.7×	89 0.4×	230 1.2×	192 1.6×	13 0.1×	16	805
Han Seul Kim South Korea	14	340 1.0×	217 1.0×	325 1.6×	49 0.4×	70 0.6×	53	639
Pengshan Xie Hong Kong	19	697 2.0×	119 0.6×	377 1.9×	153 1.3×	11 0.1×	53	860

Countries citing papers authored by Haoming Yu

Since Specialization

Citations

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

Fields of papers citing papers by Haoming Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoming Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Haoming, et al.. (2024). Neuromorphic one-shot learning utilizing a phase-transition material. Proceedings of the National Academy of Sciences. 121(17). e2318362121–e2318362121. 5 indexed citations

Pofelski, Alexandre, Sunbin Deng, Haoming Yu, et al.. (2024). Subnanometer Scale Mapping of Hydrogen Doping in Vanadium Dioxide. Nano Letters. 24(6). 1974–1980. 7 indexed citations

Han, Xinxin, Xin Huang, Haoming Yu, et al.. (2024). Enhancing electrocatalytic N₂ reduction to NH₃ by introducing Ni heteroatoms into NiCuO_x electrocatalyst. Catalysis Science & Technology. 14(13). 3691–3698. 6 indexed citations

Deng, Sunbin, Haoming Yu, Tae Joon Park, et al.. (2023). Selective area doping for Mott neuromorphic electronics. Science Advances. 9(11). eade4838–eade4838. 38 indexed citations

Yang, Fangqi, Caihong Liang, Wendi Zhao, et al.. (2023). Oxide‐Derived Bismuth as an Efficient Catalyst for Electrochemical Reduction of Flue Gas. Small. 19(30). e2300417–e2300417. 26 indexed citations

Deng, Sunbin, Tae Joon Park, Haoming Yu, et al.. (2023). Hydrogenated VO₂ Bits for Probabilistic Computing. IEEE Electron Device Letters. 44(10). 1776–1779. 6 indexed citations

Yu, Haoming, A N M Nafiul Islam, Sandip Mondal, Abhronil Sengupta, & Shriram Ramanathan. (2022). Switching Dynamics in Vanadium Dioxide-Based Stochastic Thermal Neurons. IEEE Transactions on Electron Devices. 69(6). 3135–3141. 9 indexed citations

Yang, Fangqi, Caihong Liang, Haoming Yu, et al.. (2022). Phosphorus‐Doped Graphene Aerogel as Self‐Supported Electrocatalyst for CO₂‐to‐Ethanol Conversion. Advanced Science. 9(25). e2202006–e2202006. 61 indexed citations

Zhang, Haitian, Tae Joon Park, A N M Nafiul Islam, et al.. (2022). Reconfigurable perovskite nickelate electronics for artificial intelligence. Science. 375(6580). 533–539. 166 indexed citations

10.

Liu, Xing, Yunpeng Hou, Fangqi Yang, et al.. (2022). Selective CO2 electroreduction to ethanol on encapsulated nickel nanoparticles by N-doped carbon nanotubes. Carbon. 201. 460–466. 27 indexed citations

11.

Yu, Haoming, Fangqi Yang, Wendi Zhao, et al.. (2022). Metallic bismuth nanoclusters confined in micropores for efficient electrocatalytic reduction of carbon dioxide with long-term stability. Journal of Colloid and Interface Science. 630(Pt A). 81–90. 19 indexed citations

12.

Park, Tae Joon, Haitian Zhang, Sukriti Manna, et al.. (2022). Efficient Probabilistic Computing with Stochastic Perovskite Nickelates. Nano Letters. 22(21). 8654–8661. 22 indexed citations

13.

Yu, Haoming, et al.. (2022). Electron doping of NdNiO3 thin films using dual chamber CaH2 annealing. Journal of Solid State Chemistry. 315. 123512–123512. 3 indexed citations

14.

Park, Tae Joon, Sunbin Deng, Sukriti Manna, et al.. (2022). Complex Oxides for Brain‐Inspired Computing: A Review. Advanced Materials. 35(37). 46 indexed citations

15.

Yu, Haoming, et al.. (2022). Negative Differential Resistance in Oxygen-ion Conductor Yttria-stabilized Zirconia for Extreme Environment Electronics. ACS Applied Materials & Interfaces. 14(35). 40116–40125. 3 indexed citations

16.

Yang, Fangqi, Haoming Yu, Xinyu Mao, et al.. (2021). Boosting electrochemical CO2 reduction on ternary heteroatoms-doped porous carbon. Chemical Engineering Journal. 425. 131661–131661. 31 indexed citations

17.

Chen, Shixia, Fangqi Yang, Haoming Yu, et al.. (2021). Nickel Nanoparticles with Narrow Size Distribution Confined in Nitrogen-Doped Carbon for Efficient Reduction of CO2 to CO. Catalysis Letters. 152(2). 600–609. 6 indexed citations

18.

Sun, Yifei, Qi Wang, Tae Joon Park, et al.. (2021). Electrochromic Properties of Perovskite NdNiO₃ Thin Films for Smart Windows. ACS Applied Electronic Materials. 3(4). 1719–1731. 29 indexed citations

19.

Liu, Lu, Haoming Yu, Fangqi Yang, et al.. (2020). Agglomerated nickel–cobalt layered double hydroxide nanosheets on reduced graphene oxide clusters as efficient asymmetric supercapacitor electrodes. Journal of materials research/Pratt's guide to venture capital sources. 35(9). 1205–1213. 28 indexed citations

20.

Yu, Haoming, et al.. (2018). A Cork-Based Smart Biosensing System for Ethanol. IEEE Sensors Journal. 19(6). 2313–2319. 1 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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