Hemeng Zhang

624 total citations
32 papers, 435 citations indexed

About

Hemeng Zhang is a scholar working on Ocean Engineering, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hemeng Zhang has authored 32 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ocean Engineering, 13 papers in Mechanics of Materials and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hemeng Zhang's work include Coal Properties and Utilization (19 papers), Hydrocarbon exploration and reservoir analysis (7 papers) and Geoscience and Mining Technology (5 papers). Hemeng Zhang is often cited by papers focused on Coal Properties and Utilization (19 papers), Hydrocarbon exploration and reservoir analysis (7 papers) and Geoscience and Mining Technology (5 papers). Hemeng Zhang collaborates with scholars based in China, Japan and Vietnam. Hemeng Zhang's co-authors include Hung Vo Thanh, Zhenxue Dai, Mohammad Rahimi, Baehyun Min, Umar Ashraf, Suparit Tangparitkul, Kyuro Sasaki, Tao Zhang, Tao Zhang and Watheq J. Al‐Mudhafar and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Hemeng Zhang

30 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hemeng Zhang China 10 225 145 114 89 49 32 435
Lele Feng China 12 105 0.5× 143 1.0× 95 0.8× 31 0.3× 22 0.4× 55 381
Aaditya Khanal United States 12 229 1.0× 227 1.6× 163 1.4× 164 1.8× 9 0.2× 41 521
Changlong Wang China 15 230 1.0× 339 2.3× 71 0.6× 239 2.7× 32 0.7× 44 747
Stanisław Nagy Poland 11 86 0.4× 131 0.9× 100 0.9× 111 1.2× 12 0.2× 63 437
Ling Qiao China 12 406 1.8× 71 0.5× 191 1.7× 39 0.4× 116 2.4× 33 485

Countries citing papers authored by Hemeng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Hemeng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemeng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Hemeng Zhang. A scholar is included among the top collaborators of Hemeng 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 Hemeng Zhang. Hemeng Zhang 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.
2.
Li, Jinyu, Yixin Li, Hemeng Zhang, et al.. (2025). Study on the effect of hydrogen sulfide on the adsorption characteristics of methane in different coal rank coals. Journal of environmental chemical engineering. 13(2). 115514–115514. 1 indexed citations
3.
Sasaki, Kyuro, et al.. (2025). Environmental Effects on NDIR-Based CH4 Monitoring: Characterization and Correction. Environmental Science & Technology. 59(10). 4950–4961. 1 indexed citations
4.
Wang, Yongjun, Hung Vo Thanh, Watheq J. Al‐Mudhafar, et al.. (2025). Data driven based deep learning for optimizing carbon storage and methane adsorption in unconventional shale gas reservoirs. Journal of environmental chemical engineering. 13(3). 116901–116901.
5.
Wang, Yongjun, Hung Vo Thanh, Hemeng Zhang, et al.. (2025). Low-carbon advancement through cleaner production: A machine learning approach for enhanced hydrogen storage predictions in coal seams. Renewable Energy. 241. 122342–122342. 4 indexed citations
6.
Zhang, Hemeng, et al.. (2024). Investigate on spontaneous combustion characteristics of lignite stockpiles considering moisture and particle size effects. Energy. 309. 133193–133193. 9 indexed citations
7.
Thanh, Hung Vo, Hemeng Zhang, Xiaoying Liu, et al.. (2024). Advanced machine learning schemes for prediction CO2 flux based experimental approach in underground coal fire areas. Journal of Advanced Research. 70. 587–601. 5 indexed citations
8.
Zhang, Hemeng, et al.. (2024). Examination of the use of binderless zeolite blend as backfill materials to enhance CO2 adsorption in coal mine working face. Case Studies in Construction Materials. 21. e03699–e03699. 1 indexed citations
9.
Sugai, Yuichi, et al.. (2024). Experimental Study on Enhanced Methane Detection Using an MEMS-Pyroelectric Sensor Integrated with a Wavelet Algorithm. ACS Omega. 9(18). 19956–19967. 7 indexed citations
10.
11.
Wang, Yinhui, et al.. (2024). Study on preparation and performance of bagasse/sodium carboxymethyl cellulose gel for inhibiting coal spontaneous combustion. Arabian Journal of Chemistry. 17(11). 105991–105991. 3 indexed citations
12.
Thanh, Hung Vo, Hemeng Zhang, Mohammad Rahimi, et al.. (2024). Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems. Journal of environmental chemical engineering. 12(5). 113435–113435. 16 indexed citations
13.
Thanh, Hung Vo, Mohammad Rahimi, Zhenxue Dai, Hemeng Zhang, & Tao Zhang. (2023). Predicting the wettability rocks/minerals-brine-hydrogen system for hydrogen storage: Re-evaluation approach by multi-machine learning scheme. Fuel. 345. 128183–128183. 54 indexed citations
14.
Thanh, Hung Vo, Hemeng Zhang, Zhenxue Dai, et al.. (2023). Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage. International Journal of Hydrogen Energy. 55. 1422–1433. 56 indexed citations
15.
Wang, Yongjun, Hemeng Zhang, Zheng Qian, et al.. (2023). Numerical study on calculation model of airflow temperature and humidity prediction in humid airway. Energy Science & Engineering. 11(6). 1985–1997. 6 indexed citations
16.
17.
Zhang, Hemeng, Hung Vo Thanh, Mohammad Rahimi, et al.. (2023). Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage. The Science of The Total Environment. 877. 162944–162944. 61 indexed citations
18.
Zhang, Hemeng, Hung Vo Thanh, Fangwei Han, et al.. (2023). Development of an in-situ gel from CO2-captured complex solution and inhibiting coal spontaneous combustion: A case study in thermal engineering. Case Studies in Thermal Engineering. 50. 103423–103423. 9 indexed citations
19.
Thanh, Hung Vo, et al.. (2022). Application of hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites. Renewable Energy. 200. 169–184. 39 indexed citations
20.
Zhang, Hemeng, et al.. (2020). Formation of Cross-linked Gel from Complex Water-Solution of Sodium Metasilicate Nonahydrate and Polyvinyl Alcohol to Inhibit Spontaneous Coal Combustion. Combustion Science and Technology. 194(11). 2308–2324. 5 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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