Junqiang Hao

467 total citations
11 papers, 401 citations indexed

About

Junqiang Hao is a scholar working on Surfaces, Coatings and Films, Water Science and Technology and Biomedical Engineering. According to data from OpenAlex, Junqiang Hao has authored 11 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surfaces, Coatings and Films, 7 papers in Water Science and Technology and 7 papers in Biomedical Engineering. Recurrent topics in Junqiang Hao's work include Membrane Separation Technologies (7 papers), Surface Modification and Superhydrophobicity (7 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Junqiang Hao is often cited by papers focused on Membrane Separation Technologies (7 papers), Surface Modification and Superhydrophobicity (7 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Junqiang Hao collaborates with scholars based in China. Junqiang Hao's co-authors include Changfa Xiao, Jian Zhao, Hailiang Liu, Kaikai Chen, Dawei Ji, Shulin An, Qinglin Huang, Tai Zhang, Song Liang and Yan Huang and has published in prestigious journals such as Chemical Engineering Journal, Journal of Membrane Science and Journal of Chromatography A.

In The Last Decade

Junqiang Hao

11 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junqiang Hao China 9 250 228 94 91 89 11 401
Huiju Shao China 12 268 1.1× 218 1.0× 49 0.5× 58 0.6× 99 1.1× 25 364
Christine Matindi China 12 408 1.6× 278 1.2× 67 0.7× 70 0.8× 138 1.6× 19 508
Thanitporn Narkkun Thailand 12 247 1.0× 231 1.0× 57 0.6× 66 0.7× 136 1.5× 15 452
Xuanxuan Yang China 7 293 1.2× 238 1.0× 51 0.5× 120 1.3× 73 0.8× 14 402
M. Sri Abirami Saraswathi India 8 207 0.8× 186 0.8× 62 0.7× 33 0.4× 52 0.6× 11 314
Juha Nikkola Finland 9 179 0.7× 180 0.8× 117 1.2× 55 0.6× 45 0.5× 21 457
Chun‐Yin Kuo Taiwan 7 217 0.9× 190 0.8× 43 0.5× 77 0.8× 125 1.4× 7 374
Alon Y. Kirschner United States 6 282 1.1× 199 0.9× 43 0.5× 106 1.2× 52 0.6× 7 368
N.A. Ahmad Malaysia 9 201 0.8× 134 0.6× 60 0.6× 94 1.0× 221 2.5× 11 410

Countries citing papers authored by Junqiang Hao

Since Specialization
Citations

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

Fields of papers citing papers by Junqiang Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqiang Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Junqiang Hao. A scholar is included among the top collaborators of Junqiang Hao 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 Junqiang Hao. Junqiang Hao 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
2.
Ji, Dawei, Changfa Xiao, Shulin An, et al.. (2019). Preparation of high-flux PSF/GO loose nanofiltration hollow fiber membranes with dense-loose structure for treating textile wastewater. Chemical Engineering Journal. 363. 33–42. 128 indexed citations
3.
Ji, Dawei, Changfa Xiao, Shulin An, et al.. (2018). Preparation of PSF/FEP mixed matrix membrane with super hydrophobic surface for efficient water-in-oil emulsion separation. RSC Advances. 8(18). 10097–10106. 33 indexed citations
4.
Zhang, Tai, Changfa Xiao, Jian Zhao, et al.. (2018). Continuous separation of oil from water surface by a novel tubular unit based on graphene coated polyurethane sponge. Polymers for Advanced Technologies. 29(8). 2317–2326. 13 indexed citations
5.
Wang, Xinya, Changfa Xiao, Hailiang Liu, et al.. (2018). A study on fabrication of PVDF-HFP/PTFE blend membranes with controllable and bicontinuous structure for highly effective water-in-oil emulsion separation. RSC Advances. 8(49). 27754–27762. 26 indexed citations
7.
Hao, Junqiang, Zitao Wang, Changfa Xiao, Jian Zhao, & Li Chen. (2017). In situ reduced graphene oxide-based polyurethane sponge hollow tube for continuous oil removal from water surface. Environmental Science and Pollution Research. 25(5). 4837–4845. 17 indexed citations
8.
Hao, Junqiang, Changfa Xiao, Jian Zhao, & Li Chen. (2017). Fabrication and properties of graphene-coated polypropylene hollow fiber membranes. Desalination and Water Treatment. 68. 353–360. 3 indexed citations
9.
Huang, Yan, Changfa Xiao, Qinglin Huang, et al.. (2017). Magnetic field induced orderly arrangement of Fe3O4/GO composite particles for preparation of Fe3O4/GO/PVDF membrane. Journal of Membrane Science. 548. 184–193. 82 indexed citations
10.
Hao, Junqiang, et al.. (2017). Effect of stretching on continuous oil/water separation performance of polypropylene hollow fiber membrane. Iranian Polymer Journal. 26(12). 941–948. 9 indexed citations
11.
Hao, Junqiang, et al.. (2016). Preparation and Performance of PET-Braid-Reinforced Poly(vinylidene fluoride)/Graphene Hollow-Fiber Membranes. Industrial & Engineering Chemistry Research. 55(7). 2174–2182. 41 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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