Haoqing Wu

520 total citations · 1 hit paper
30 papers, 375 citations indexed

About

Haoqing Wu is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Biomedical Engineering. According to data from OpenAlex, Haoqing Wu has authored 30 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Fluid Flow and Transfer Processes, 14 papers in Automotive Engineering and 12 papers in Biomedical Engineering. Recurrent topics in Haoqing Wu's work include Advanced Combustion Engine Technologies (28 papers), Vehicle emissions and performance (13 papers) and Biodiesel Production and Applications (12 papers). Haoqing Wu is often cited by papers focused on Advanced Combustion Engine Technologies (28 papers), Vehicle emissions and performance (13 papers) and Biodiesel Production and Applications (12 papers). Haoqing Wu collaborates with scholars based in China. Haoqing Wu's co-authors include Yong Qian, Wenbin Zhao, Shijie Mi, Xingcai Lü, Zhuoyao He, Yaoyuan Zhang, Chunyu Liu, Jinhe Zhang, Yaoyuan Zhang and Xingcai Lü and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and International Journal of Hydrogen Energy.

In The Last Decade

Haoqing Wu

30 papers receiving 371 citations

Hit Papers

Potential of ammonia energy fraction and diesel pilot-inj... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoqing Wu China 11 310 194 143 118 118 30 375
Shaodian Lin China 12 263 0.8× 147 0.8× 126 0.9× 81 0.7× 104 0.9× 18 299
Shijie Mi China 11 408 1.3× 280 1.4× 177 1.2× 152 1.3× 141 1.2× 37 484
Mohammad Mahdi Salahi Iran 10 305 1.0× 128 0.7× 136 1.0× 123 1.0× 145 1.2× 16 338
Baoyin Duan China 10 329 1.1× 237 1.2× 102 0.7× 101 0.9× 125 1.1× 18 389
Jisoo Shin South Korea 8 270 0.9× 161 0.8× 86 0.6× 97 0.8× 121 1.0× 13 325
Jayashish Kumar Pandey India 8 359 1.2× 207 1.1× 139 1.0× 134 1.1× 121 1.0× 13 412
Sébastien Houille France 5 295 1.0× 167 0.9× 102 0.7× 81 0.7× 139 1.2× 7 359
Gokul Vishwanathan United States 9 318 1.0× 108 0.6× 114 0.8× 140 1.2× 193 1.6× 15 379
Valentina Fraioli Italy 11 281 0.9× 117 0.6× 126 0.9× 204 1.7× 86 0.7× 26 346
Gregory K. Lilik United States 10 339 1.1× 129 0.7× 206 1.4× 157 1.3× 125 1.1× 14 388

Countries citing papers authored by Haoqing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haoqing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoqing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haoqing Wu. A scholar is included among the top collaborators of Haoqing Wu 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 Haoqing Wu. Haoqing Wu 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
2.
Wu, Haoqing, Shijie Mi, Yong Qian, et al.. (2024). Spray and evaporation characteristics of high-pressure liquid ammonia injection under flash-boiling and evaporating conditions. Fuel. 381. 133627–133627. 16 indexed citations
3.
Mi, Shijie, et al.. (2024). Expanding high ammonia energy ratios in an ammonia-diesel dual-fuel engine across wide-range rotational speeds. Applied Thermal Engineering. 251. 123608–123608. 20 indexed citations
4.
Zhang, Yaoyuan, Haoqing Wu, Shijie Mi, et al.. (2024). Optimization of intelligent charge compression ignition engine in hybrid electric powertrain by adaptive equivalent consumption management strategy. Energy. 307. 132585–132585. 4 indexed citations
5.
Mi, Shijie, et al.. (2024). Optimization of direct-injection ammonia-diesel dual-fuel combustion under low load and higher ammonia energy ratios. Fuel. 375. 132611–132611. 25 indexed citations
7.
Mi, Shijie, Jinhe Zhang, Haoqing Wu, et al.. (2024). Investigation of low carbon emission and high thermal efficiency of diesel engine combined with high-pressure direct injection of hydrogen carrier: Ammonia. International Journal of Hydrogen Energy. 88. 86–96. 7 indexed citations
8.
Wu, Haoqing, et al.. (2024). Ammonia-PODE dual-fuel direct-injection spray combustion: An optical study of spray interaction, ignition and flame development. Journal of Cleaner Production. 487. 144647–144647. 3 indexed citations
9.
10.
Zhang, Yaoyuan, Haoqing Wu, Shijie Mi, et al.. (2023). Comparative study of hybrid architectures integrated with dual-fuel intelligent charge compression ignition engine: A commercial powertrain solution towards carbon neutrality. Energy Conversion and Management. 292. 117423–117423. 6 indexed citations
11.
Zhao, Wenbin, Haoqing Wu, Shijie Mi, et al.. (2023). An investigation into the ICCI mode to low engine load extension and its achievable operational range at different intake pressure. Fuel. 349. 128769–128769. 3 indexed citations
12.
Qian, Yong, Haoqing Wu, Shijie Mi, et al.. (2023). High-efficiency combustion of gasoline compression ignition (GCI) mode with medium-pressure injection of low-octane gasoline under wide engine load conditions. Applications in Energy and Combustion Science. 15. 100179–100179. 4 indexed citations
13.
Mi, Shijie, Haoqing Wu, Chunyu Liu, et al.. (2023). Potential of ammonia energy fraction and diesel pilot-injection strategy on improving combustion and emission performance in an ammonia-diesel dual fuel engine. Fuel. 343. 127889–127889. 112 indexed citations breakdown →
14.
Zhao, Wenbin, Yaoyuan Zhang, Shijie Mi, et al.. (2022). Technological and environmental advantages of a new engine combustion mode: Dual Biofuel Intelligent Charge Compression Ignition. Fuel. 326. 125067–125067. 10 indexed citations
15.
Mi, Shijie, Yaoyuan Zhang, Haoqing Wu, et al.. (2022). Effects of research octane number of gasoline and dual direct injection strategies on combustion and emission performance of intelligent charge compression ignition (ICCI) mode. Fuel Processing Technology. 238. 107508–107508. 8 indexed citations
16.
Qian, Yong, Yaoyuan Zhang, Shijie Mi, et al.. (2022). Efficient and clean combustion of intelligent charge compression ignition (ICCI) engine at low load conditions. Fuel. 332. 126002–126002. 7 indexed citations
17.
Zhang, Yaoyuan, Wenbin Zhao, Haoqing Wu, et al.. (2021). Potential of EGR and intake heating for load extension using gasoline-ethanol blends as low reactivity fuel in an intelligent charge compression ignition engine. Fuel. 314. 122785–122785. 10 indexed citations
18.
Yu, Liang, Haoqing Wu, Wenbin Zhao, et al.. (2021). Experimental study on the application of n-butanol and n-butanol/kerosene blends as fuel for spark ignition aviation piston engine. Fuel. 304. 121362–121362. 25 indexed citations
20.
Wu, Haoqing, et al.. (2011). Characterisation of bio-oil from fast pyrolysis of rice husk in a fluidised bed reactor. Journal of the Energy Institute. 84(2). 73–79. 15 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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