Chengli Dong

1.2k total citations
60 papers, 1.0k citations indexed

About

Chengli Dong is a scholar working on Mechanics of Materials, Ocean Engineering and Analytical Chemistry. According to data from OpenAlex, Chengli Dong has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanics of Materials, 39 papers in Ocean Engineering and 38 papers in Analytical Chemistry. Recurrent topics in Chengli Dong's work include Hydrocarbon exploration and reservoir analysis (42 papers), Petroleum Processing and Analysis (36 papers) and Enhanced Oil Recovery Techniques (29 papers). Chengli Dong is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (42 papers), Petroleum Processing and Analysis (36 papers) and Enhanced Oil Recovery Techniques (29 papers). Chengli Dong collaborates with scholars based in British Virgin Islands, Netherlands and United States. Chengli Dong's co-authors include Oliver C. Mullins, Julian Y. Zuo, Hani Elshahawi, Soraya S. Betancourt, Douglas J. Seifert, Dan Zhang, Andrew E. Pomerantz, Daojiang Gao, Zhanglei Ning and Go Fujisawa and has published in prestigious journals such as Journal of Hazardous Materials, Fuel and Energy & Fuels.

In The Last Decade

Chengli Dong

60 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengli Dong British Virgin Islands 19 671 594 578 205 158 60 1.0k
Г. В. Романов Russia 16 493 0.7× 593 1.0× 397 0.7× 79 0.4× 79 0.5× 96 889
Ryuzo Tanaka Japan 16 625 0.9× 835 1.4× 526 0.9× 120 0.6× 101 0.6× 26 1.0k
Parviz Rahimi Canada 20 653 1.0× 922 1.6× 446 0.8× 201 1.0× 89 0.6× 46 1.2k
Gustavo Marroquín Mexico 20 509 0.8× 1.0k 1.7× 526 0.9× 748 3.6× 249 1.6× 43 1.5k
J. Douglas Kushnerick United States 9 443 0.7× 505 0.9× 269 0.5× 48 0.2× 81 0.5× 9 684
Tetyana Kuznicki Canada 14 211 0.3× 264 0.4× 220 0.4× 263 1.3× 298 1.9× 19 840
A. Moradi‐Araghi United States 17 251 0.4× 242 0.4× 799 1.4× 463 2.3× 81 0.5× 32 1.0k
Ilfat Z. Rakhmatullin Russia 14 294 0.4× 424 0.7× 237 0.4× 106 0.5× 60 0.4× 36 643
M. R. Yakubov Russia 14 251 0.4× 378 0.6× 168 0.3× 74 0.4× 145 0.9× 53 484
J. Espidel Venezuela 12 461 0.7× 507 0.9× 426 0.7× 19 0.1× 51 0.3× 20 664

Countries citing papers authored by Chengli Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chengli Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengli Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Chengli Dong. A scholar is included among the top collaborators of Chengli Dong 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 Chengli Dong. Chengli Dong 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.
Dong, Chengli, Jie Yang, Ting Yang, et al.. (2021). Solvothermal synthesis of La-based metal-organic frameworks and their color-tunable photoluminescence properties. Journal of Materials Science Materials in Electronics. 32(8). 9903–9911. 9 indexed citations
2.
Dong, Chengli, et al.. (2019). A facile synthesized Eu-based metal–organic frameworks sensor for highly selective detection of volatile organic compounds. Journal of Materials Science Materials in Electronics. 30(21). 19247–19253. 14 indexed citations
3.
Li, Feng, Chengli Dong, Mingfeng Li, et al.. (2019). Terbium-based metal-organic frameworks: highly selective and fast respond sensor for styrene detection and construction of molecular logic gate. Journal of Hazardous Materials. 388. 121816–121816. 96 indexed citations
4.
Wang, Kang, Armin I. Kauerauf, Julian Y. Zuo, et al.. (2015). Differing Equilibration Times of GOR, Asphaltenes and Biomarkers as Determined by Charge History and Reservoir Fluid Geodynamics. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 56(5). 440–456. 8 indexed citations
5.
Mullins, Oliver C., Kang Wang, Armin I. Kauerauf, et al.. (2015). Evaluation of Coexisting Reservoir Fluid Gradients of GOR, Asphaltene and Biomarkers as Determined by Charge History and Reservoir Fluid Geodynamics. 4 indexed citations
6.
Dong, Chengli, et al.. (2014). Fault Block Migrations Inferred from Asphaltene Gradients. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 55(2). 113–123. 10 indexed citations
7.
Mullins, Oliver C., Julian Y. Zuo, Kang Wang, et al.. (2014). The Dynamics of Reservoir Fluids and their Substantial Systematic Variations. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 55(2). 96–112. 18 indexed citations
8.
Mullins, Oliver C., Kang Wang, Yi Chen, et al.. (2014). Characterization of Asphaltene Transport over Geologic Time Aids in Explaining the Distribution of Heavy Oils and Solid Hydrocarbons in Reservoirs. SPE Annual Technical Conference and Exhibition. 12 indexed citations
9.
Dumont, Hadrien, Chengli Dong, Hua Chen, et al.. (2014). REDUCING OOIP UNCERTAINTY IN HPHT ENVIRONMENTS WITH IMPROVED-ACCURACY FORMATION PRESSURE MEASUREMENTS. 1 indexed citations
10.
Elshahawi, Hani, Chengli Dong, Julian Y. Zuo, et al.. (2013). Advanced Reservoir Evaluation Using Downhole Fluid Analysis and Asphaltene Flory-Huggins-Zuo Equation of State. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 54(1). 20–29. 10 indexed citations
11.
Zuo, Julian Y., Hadrien Dumont, Oliver C. Mullins, et al.. (2013). Integration of Downhole Fluid Analysis and the Flory-Huggins-Zuo EOS for Asphaltene Gradients and Advanced Formation Evaluation. SPE Annual Technical Conference and Exhibition. 2 indexed citations
12.
Zuo, Julian Y., et al.. (2013). Advanced Reservoir and Tar Mat Evaluation Using Downhole Fluid Analysis and Asphaltene Flory-Huggins-Zuo EoS. International Petroleum Technology Conference. 2 indexed citations
13.
Mishra, Vinay Kumar, et al.. (2012). Downhole Fluid Analysis and Asphaltene Nanoscience Coupled with VIT for Risk Reduction in Black Oil Production. SPE Annual Technical Conference and Exhibition. 16 indexed citations
14.
Seifert, Douglas J., Murat Zeybek, Chengli Dong, Julian Y. Zuo, & Oliver C. Mullins. (2012). Black Oil, Heavy Oil and Tar in One Oil Column Understood by Simple Asphaltene Nanoscience. Abu Dhabi International Petroleum Conference and Exhibition. 20 indexed citations
15.
Dong, Chengli, et al.. (2012). Evaluation of Reservoir Connectivity from Downhole Fluid Analysis, Asphaltene Equation of State Model and Advanced Laboratory Fluid Analyses. SPE Annual Technical Conference and Exhibition. 7 indexed citations
16.
Zuo, Julian Y., Hani Elshahawi, Oliver C. Mullins, et al.. (2011). Asphaltene gradients and tar mat formation in reservoirs under active gas charging. Fluid Phase Equilibria. 315. 91–98. 24 indexed citations
17.
Zuo, Julian Y., Oliver C. Mullins, Chengli Dong, & Dan Zhang. (2010). Modeling of Asphaltene Grading in Oil Reservoirs. Natural Resources. 1(1). 19–27. 12 indexed citations
18.
Elshahawi, Hani, et al.. (2010). Reservoir Fluid Analysis As A Proxy For Connectivity In Deepwater Reservoirs. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 51(2). 75–88. 9 indexed citations
19.
Hegeman, Peter S., et al.. (2007). Application of Artificial Neural Networks to Downhole Fluid Analysis. International Petroleum Technology Conference. 10 indexed citations
20.
Mullins, Oliver C., Go Fujisawa, Chengli Dong, et al.. (2005). Compartment Identification by Downhole Fluid Analysis. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 46(4). 302–312. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026