Alan William Dougherty

594 total citations
11 papers, 523 citations indexed

About

Alan William Dougherty is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alan William Dougherty has authored 11 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Renewable Energy, Sustainability and the Environment, 6 papers in Materials Chemistry and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alan William Dougherty's work include Electrocatalysts for Energy Conversion (5 papers), Catalytic Processes in Materials Science (3 papers) and Ammonia Synthesis and Nitrogen Reduction (3 papers). Alan William Dougherty is often cited by papers focused on Electrocatalysts for Energy Conversion (5 papers), Catalytic Processes in Materials Science (3 papers) and Ammonia Synthesis and Nitrogen Reduction (3 papers). Alan William Dougherty collaborates with scholars based in Hong Kong, China and Macao. Alan William Dougherty's co-authors include Mingzi Sun, Bolong Huang, Chun‐Hua Yan, Yuliang Li, Tong Wu, Hon Ho Wong, Qiuyang Lu, Maggie Lam, Yurui Xue and Hao Dong and has published in prestigious journals such as Advanced Energy Materials, Nano Energy and Nanoscale.

In The Last Decade

Alan William Dougherty

11 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan William Dougherty Hong Kong 10 343 298 151 131 36 11 523
Zedong Li China 8 299 0.9× 172 0.6× 204 1.4× 56 0.4× 21 0.6× 12 461
Sayan Banerjee United States 12 131 0.4× 243 0.8× 114 0.8× 57 0.4× 34 0.9× 22 427
Zhao Yin China 8 142 0.4× 147 0.5× 58 0.4× 50 0.4× 62 1.7× 15 375
Shizheng Zhou China 9 306 0.9× 128 0.4× 196 1.3× 46 0.4× 28 0.8× 18 426
Xudong Liu China 13 317 0.9× 164 0.6× 180 1.2× 74 0.6× 15 0.4× 40 601
Yuxuan Tan China 14 357 1.0× 286 1.0× 419 2.8× 33 0.3× 41 1.1× 34 741
Jiewei Chen China 8 310 0.9× 144 0.5× 172 1.1× 114 0.9× 25 0.7× 16 414
Long Guo China 13 632 1.8× 179 0.6× 510 3.4× 88 0.7× 56 1.6× 32 794

Countries citing papers authored by Alan William Dougherty

Since Specialization
Citations

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

Fields of papers citing papers by Alan William Dougherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan William Dougherty. 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 Alan William Dougherty. The network helps show where Alan William Dougherty may publish in the future.

Co-authorship network of co-authors of Alan William Dougherty

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

All Works

11 of 11 papers shown
1.
2.
Sun, Mingzi, Hon Ho Wong, Tong Wu, Alan William Dougherty, & Bolong Huang. (2022). Entanglement of Spatial and Energy Segmentation for C1 Pathways in CO2 Reduction on Carbon Skeleton Supported Atomic Catalysts. Advanced Energy Materials. 12(14). 32 indexed citations
3.
Sun, Mingzi, Hon Ho Wong, Tong Wu, et al.. (2022). Double‐Dependence Correlations in Graphdiyne‐Supported Atomic Catalysts to Promote CO2RR toward the Generation of C2 Products. Advanced Energy Materials. 13(7). 55 indexed citations
4.
Sun, Mingzi, Tong Wu, Alan William Dougherty, et al.. (2021). Self‐Validated Machine Learning Study of Graphdiyne‐Based Dual Atomic Catalyst. Advanced Energy Materials. 11(13). 72 indexed citations
5.
Sun, Mingzi, Hon Ho Wong, Tong Wu, Alan William Dougherty, & Bolong Huang. (2021). Stepping Out of Transition Metals: Activating the Dual Atomic Catalyst through Main Group Elements. Advanced Energy Materials. 11(30). 48 indexed citations
6.
Sun, Mingzi, Alan William Dougherty, Bolong Huang, Yuliang Li, & Chun‐Hua Yan. (2020). Accelerating Atomic Catalyst Discovery by Theoretical Calculations‐Machine Learning Strategy. Advanced Energy Materials. 10(12). 144 indexed citations
7.
Sun, Mingzi, Tong Wu, Yurui Xue, et al.. (2019). Mapping of atomic catalyst on graphdiyne. Nano Energy. 62. 754–763. 73 indexed citations
8.
Sun, Mingzi, Hao Dong, Alan William Dougherty, et al.. (2018). Nanophotonic energy storage in upconversion nanoparticles. Nano Energy. 56. 473–481. 47 indexed citations
9.
Huang, Bolong, Mingzi Sun, Alan William Dougherty, et al.. (2017). Unravelling the energy transfer of Er3+-self-sensitized upconversion in Er3+–Yb3+–Er3+clustered core@shell nanoparticles. Nanoscale. 9(46). 18490–18497. 11 indexed citations
10.
Dougherty, Alan William & Jane You. (2017). A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 198–205. 11 indexed citations
11.
Guo, Yanan, Dapeng Tao, Jun Cheng, et al.. (2016). Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition. IEEE Transactions on Multimedia. 18(10). 1977–1987. 23 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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