Changlong Wang

697 total citations
20 papers, 492 citations indexed

About

Changlong Wang is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology and Aerospace Engineering. According to data from OpenAlex, Changlong Wang has authored 20 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Energy Engineering and Power Technology and 4 papers in Aerospace Engineering. Recurrent topics in Changlong Wang's work include Hybrid Renewable Energy Systems (6 papers), Energy Load and Power Forecasting (5 papers) and Integrated Energy Systems Optimization (4 papers). Changlong Wang is often cited by papers focused on Hybrid Renewable Energy Systems (6 papers), Energy Load and Power Forecasting (5 papers) and Integrated Energy Systems Optimization (4 papers). Changlong Wang collaborates with scholars based in Australia, China and France. Changlong Wang's co-authors include Didier Astruc, Fangyu Fu, Qi Wang, Stuart D.C. Walsh, Andrew Feitz, Zhehan Weng, Roger Dargaville, Graham Palmer, Thomas Longden and Hao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accounts of Chemical Research and Renewable and Sustainable Energy Reviews.

In The Last Decade

Changlong Wang

18 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changlong Wang Australia 10 232 186 153 110 108 20 492
Nicholas Salmon United Kingdom 11 228 1.0× 331 1.8× 163 1.1× 99 0.9× 210 1.9× 16 592
Chris Cook Finland 3 261 1.1× 156 0.8× 222 1.5× 88 0.8× 63 0.6× 3 400
Thiago Simonato Mozer Brazil 4 350 1.5× 229 1.2× 160 1.0× 161 1.5× 229 2.1× 9 695
Rongxin Zhang China 13 316 1.4× 163 0.9× 60 0.4× 95 0.9× 99 0.9× 27 597
И. В. Седов Russia 17 314 1.4× 332 1.8× 95 0.6× 99 0.9× 72 0.7× 92 799
Nuria Sánchez‐Bastardo Germany 7 323 1.4× 325 1.7× 128 0.8× 75 0.7× 107 1.0× 8 700
Rupsha Bhattacharyya India 6 186 0.8× 62 0.3× 136 0.9× 90 0.8× 47 0.4× 10 354
Richard Nayak-Luke United Kingdom 5 345 1.5× 475 2.6× 231 1.5× 117 1.1× 230 2.1× 8 723
Sebastian T. Wismann Denmark 7 361 1.6× 453 2.4× 88 0.6× 85 0.8× 234 2.2× 9 684
Aikaterini Anastasopoulou Netherlands 13 188 0.8× 139 0.7× 38 0.2× 62 0.6× 50 0.5× 16 471

Countries citing papers authored by Changlong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changlong Wang. A scholar is included among the top collaborators of Changlong Wang 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 Changlong Wang. Changlong Wang 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.
Wang, Changlong, et al.. (2025). Economic growth and fiscal incentives for green hydrogen development: Policy and spatial evaluation across China. Case Studies in Thermal Engineering. 75. 107192–107192.
2.
Wang, Changlong, et al.. (2025). Catalytic electrochemical oxidation of a bio-model, 5-hydroxymethyl furfural, toward a circular plastic economy. Coordination Chemistry Reviews. 549. 217241–217241.
3.
Palmer, Graham, et al.. (2025). Considering the greenness of renewable hydrogen production in Australia. Journal of Cleaner Production. 516. 145776–145776. 2 indexed citations
4.
Palmer, Graham, Roger Dargaville, Chun‐Hsu Su, et al.. (2025). Validation of BARRA2 and comparison with MERRA-2 and ERA5 using historical wind power generation. Journal of Southern Hemisphere Earth System Science. 75(1). 2 indexed citations
5.
Wang, Changlong, et al.. (2024). Unlocking new export opportunities: An open-source framework for assessing green iron and steel supply chains. International Journal of Hydrogen Energy. 92. 1366–1374. 2 indexed citations
6.
Wang, Changlong, et al.. (2024). Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. IEEE Transactions on Industrial Informatics. 20(5). 7205–7215. 5 indexed citations
7.
8.
Say, Kelvin, et al.. (2023). The economics of public transport electrification: A case study from Victoria, Australia. Energy Economics. 120. 106599–106599. 8 indexed citations
9.
Wang, Changlong, et al.. (2023). Assessing Predictions of Australian Offshore Wind Energy Resources from Reanalysis Datasets. Energies. 16(8). 3404–3404. 9 indexed citations
10.
Walsh, Stuart D.C., et al.. (2023). Evaluating the Economic Potential for Geological Hydrogen Storage in Australia. SHILAP Revista de lepidopterología. 3(1). 11 indexed citations
11.
Wang, Changlong, et al.. (2023). Optimising renewable generation configurations of off-grid green ammonia production systems considering Haber-Bosch flexibility. Energy Conversion and Management. 280. 116790–116790. 65 indexed citations
12.
13.
Wang, Changlong, et al.. (2023). Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets. Energy and AI. 14. 100280–100280. 12 indexed citations
14.
Wang, Changlong, et al.. (2023). Green steel: Synergies between the Australian iron ore industry and the production of green hydrogen. International Journal of Hydrogen Energy. 48(83). 32277–32293. 36 indexed citations
15.
Blanco, Herib, Jonathan Leaver, Paul E. Dodds, et al.. (2022). A taxonomy of models for investigating hydrogen energy systems. Renewable and Sustainable Energy Reviews. 167. 112698–112698. 53 indexed citations
16.
Anwar, Muhammad Tuoqeer, et al.. (2022). Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 12 indexed citations
17.
Kang, Naixin, Xiaorong Wei, Ruofan Shen, et al.. (2022). Fast Au-Ni@ZIF-8-catalyzed ammonia borane hydrolysis boosted by dramatic volcano-type synergy and plasmonic acceleration. Applied Catalysis B: Environmental. 320. 121957–121957. 66 indexed citations
18.
Walsh, Stuart D.C., et al.. (2021). Evaluating the economic fairways for hydrogen production in Australia. International Journal of Hydrogen Energy. 46(73). 35985–35996. 43 indexed citations
19.
Wang, Changlong, Qi Wang, Fangyu Fu, & Didier Astruc. (2020). Hydrogen Generation upon Nanocatalyzed Hydrolysis of Hydrogen-Rich Boron Derivatives: Recent Developments. Accounts of Chemical Research. 53(10). 2483–2493. 159 indexed citations
20.
Ueckerdt, Falko, Roger Dargaville, Malte Meinshausen, et al.. (2019). Australia’s power advantage energy transition and hydrogen export scenarios. elib (German Aerospace Center). 3 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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