Hongliang Xin

11.5k total citations · 8 hit papers
98 papers, 9.5k citations indexed

About

Hongliang Xin is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Catalysis. According to data from OpenAlex, Hongliang Xin has authored 98 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Materials Chemistry, 45 papers in Renewable Energy, Sustainability and the Environment and 33 papers in Catalysis. Recurrent topics in Hongliang Xin's work include Electrocatalysts for Energy Conversion (32 papers), Machine Learning in Materials Science (32 papers) and Catalytic Processes in Materials Science (26 papers). Hongliang Xin is often cited by papers focused on Electrocatalysts for Energy Conversion (32 papers), Machine Learning in Materials Science (32 papers) and Catalytic Processes in Materials Science (26 papers). Hongliang Xin collaborates with scholars based in United States, China and Singapore. Hongliang Xin's co-authors include Suljo Linic, Phillip Christopher, Marimuthu Andiappan, Siwen Wang, Luke E. K. Achenie, Hemanth Somarajan Pillai, Liang Yu, Xianfeng Ma, Zheng Li and Xiaofeng Feng and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Hongliang Xin

94 papers receiving 9.4k citations

Hit Papers

5 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.

Visible-light-enhanced catalytic oxidation reactions on plasmonic silver nanostructures

2011 1.7k citations Hongliang Xin et al. profile →
Singular characteristics and unique chemical bond activation mechanisms of photocatalytic reactions on plasmonic nanostructures

2012 759 citations Hongliang Xin et al. profile →
Ambient ammonia synthesis via palladium-catalyzed electrohydrogenation of dinitrogen at low overpotential

2018 724 citations Liang Yu, Hongliang Xin et al. Nature Communications profile →
Effects ofd-band shape on the surface reactivity of transition-metal alloys

2014 510 citations Hongliang Xin, Frank Abild‐Pedersen et al. profile →
Ag–Sn Bimetallic Catalyst with a Core–Shell Structure for CO₂ Reduction

2017 510 citations Siwen Wang, Hongliang Xin et al. profile →
Breaking adsorption-energy scaling limitations of electrocatalytic nitrate reduction on intermetallic CuPd nanocubes by machine-learned insights

2022 315 citations Hemanth Somarajan Pillai, Yang Huang et al. Nature Communications profile →
Synthesis of core/shell nanocrystals with ordered intermetallic single-atom alloy layers for nitrate electroreduction to ammonia

2023 182 citations Hemanth Somarajan Pillai, Hongliang Xin et al. profile →
Bridging the complexity gap in computational heterogeneous catalysis with machine learning

2023 165 citations Tianyou Mou, Hemanth Somarajan Pillai et al. Nature Catalysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongliang Xin United States	38	6.1k	5.8k	3.0k	1.6k	1.6k	98	9.5k
Andrew J. Medford United States	43	4.9k 0.8×	3.8k 0.7×	3.7k 1.2×	2.0k 1.2×	665 0.4×	93	8.5k
Qiang Li China	54	6.3k 1.0×	5.1k 0.9×	2.5k 0.8×	3.7k 2.3×	424 0.3×	190	9.9k
Aleksandra Vojvodić United States	45	8.5k 1.4×	11.4k 2.0×	3.6k 1.2×	6.8k 4.1×	710 0.4×	83	15.8k
Janis Timoshenko Germany	46	4.2k 0.7×	6.0k 1.0×	3.6k 1.2×	2.4k 1.5×	309 0.2×	140	9.0k
Gui‐Chang Wang China	47	5.2k 0.9×	4.2k 0.7×	2.6k 0.9×	2.9k 1.8×	809 0.5×	292	9.4k
Tejs Vegge Denmark	55	7.2k 1.2×	5.4k 0.9×	4.8k 1.6×	5.5k 3.4×	568 0.4×	232	13.8k
Tao Qian China	67	4.1k 0.7×	4.6k 0.8×	2.8k 0.9×	8.2k 5.0×	3.9k 2.4×	383	15.9k
Joseph H. Montoya United States	35	5.0k 0.8×	7.5k 1.3×	3.0k 1.0×	4.3k 2.6×	393 0.2×	55	10.8k
Sen Lin China	57	10.7k 1.8×	8.9k 1.5×	2.8k 0.9×	4.0k 2.5×	713 0.4×	226	14.1k
Dohyung Kim United States	31	5.8k 0.9×	8.6k 1.5×	3.4k 1.1×	2.8k 1.7×	624 0.4×	68	11.7k

Countries citing papers authored by Hongliang Xin

Since Specialization

Citations

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

Fields of papers citing papers by Hongliang Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongliang Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Hongliang Xin. A scholar is included among the top collaborators of Hongliang Xin 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 Hongliang Xin. Hongliang Xin 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

1.

Xin, Hongliang, et al.. (2026). Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models. Angewandte Chemie International Edition. e26150–e26150.

2.

Bennett, Jeffrey A., Long Qi, Shijing Sun, et al.. (2025). Autonomous catalysis research with human–AI–robot collaboration. Nature Catalysis. 8(11). 1135–1145.

3.

Wang, Jia‐Min, et al.. (2025). Unveiling the interplay of electronic and phononic excitations in laser-induced oxygen activation on Ru(0001). The Journal of Chemical Physics. 163(11).

4.

Liu, Liping, Siwen Wang, Chen Ling, & Hongliang Xin. (2024). Advancing oxygen evolution electrocatalysis with human-machine intelligence. Chem Catalysis. 4(1). 100868–100868. 1 indexed citations

5.

Zhang, Zhengyu, Qi An, Liping Liu, et al.. (2024). Spinel oxide enables high-temperature self-lubrication in superalloys. Nature Communications. 15(1). 10039–10039. 11 indexed citations

6.

Huang, Yang, et al.. (2024). Unraveling Reactivity Origin of Oxygen Reduction at High-Entropy Alloy Electrocatalysts with a Computational and Data-Driven Approach. The Journal of Physical Chemistry C. 128(27). 11183–11189. 12 indexed citations

7.

Pillai, Hemanth Somarajan, Yi Li, Luke E. K. Achenie, et al.. (2023). Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks. Nature Communications. 14(1). 792–792. 94 indexed citations

8.

Thompson, Coogan, Liping Liu, Denis Leshchev, et al.. (2023). CO Oxidation on Ir₁/TiO₂: Resolving Ligand Dynamics and Elementary Reaction Steps. ACS Catalysis. 13(12). 7802–7811. 9 indexed citations

9.

Chen, Jia, Zhengyu Zhang, Jonathan D. Poplawsky, et al.. (2023). Selective oxidation and nickel enrichment hinders the repassivation kinetics of multi-principal element alloy surfaces. Acta Materialia. 263. 119490–119490. 6 indexed citations

10.

Xin, Hongliang, et al.. (2023). Interpretable Machine Learning for Catalytic Materials Design toward Sustainability. Accounts of Materials Research. 5(1). 22–34. 34 indexed citations

11.

Lu, Yubing, Coogan Thompson, Xiwen Zhang, et al.. (2022). CO oxidation on MgAl₂O₄ supported Ir_n: activation of lattice oxygen in the subnanometer regime and emergence of nuclearity-activity volcano. Journal of Materials Chemistry A. 10(8). 4266–4278. 7 indexed citations

12.

Wang, Jiamin, Yubing Lu, Liping Liu, et al.. (2021). Catalytic CO Oxidation on MgAl₂O₄-Supported Iridium Single Atoms: Ligand Configuration and Site Geometry. The Journal of Physical Chemistry. 2 indexed citations

13.

Wang, Jiamin, Yubing Lu, Liping Liu, et al.. (2021). Catalytic CO Oxidation on MgAl₂O₄-Supported Iridium Single Atoms: Ligand Configuration and Site Geometry. The Journal of Physical Chemistry C. 125(21). 11380–11390. 13 indexed citations

14.

Wang, Wenbo, Kaiwen Wang, Zhengyu Zhang, et al.. (2021). Ultrahigh tribocorrosion resistance of metals enabled by nano-layering. Acta Materialia. 206. 116609–116609. 30 indexed citations

15.

Li, Yi, Xing Li, Hemanth Somarajan Pillai, et al.. (2020). Ternary PtIrNi Catalysts for Efficient Electrochemical Ammonia Oxidation. ACS Catalysis. 10(7). 3945–3957. 176 indexed citations

16.

Pillai, Hemanth Somarajan & Hongliang Xin. (2019). New Insights into Electrochemical Ammonia Oxidation on Pt(100) from First Principles. Industrial & Engineering Chemistry Research. 58(25). 10819–10828. 110 indexed citations

17.

Xin, Hongliang, et al.. (2019). Elucidation of key factors in nickel-diphosphines catalyzed isomerization of 2-methyl-3-butenenitrile. Journal of Catalysis. 377. 13–19. 6 indexed citations

18.

Lu, Yubing, Jiamin Wang, Liang Yu, et al.. (2018). Identification of the active complex for CO oxidation over single-atom Ir-on-MgAl2O4 catalysts. Nature Catalysis. 2(2). 149–156. 273 indexed citations

19.

LaRue, Jerry, Ondřej Krejčí, Liang Yu, et al.. (2017). Real-Time Elucidation of Catalytic Pathways in CO Hydrogenation on Ru. The Journal of Physical Chemistry Letters. 8(16). 3820–3825. 10 indexed citations

20.

Xin, Hongliang. (2007). Alkylation of Benzene with C16～C18 Olefins Catalyzed by [Bmim]Cl/AlCl_3 Ionic Liquid. Guocheng gongcheng xuebao. 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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