Sujun Tian

898 total citations
16 papers, 818 citations indexed

About

Sujun Tian is a scholar working on Water Science and Technology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Sujun Tian has authored 16 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 7 papers in Organic Chemistry and 7 papers in Materials Chemistry. Recurrent topics in Sujun Tian's work include Adsorption and biosorption for pollutant removal (10 papers), Nanomaterials for catalytic reactions (7 papers) and Covalent Organic Framework Applications (5 papers). Sujun Tian is often cited by papers focused on Adsorption and biosorption for pollutant removal (10 papers), Nanomaterials for catalytic reactions (7 papers) and Covalent Organic Framework Applications (5 papers). Sujun Tian collaborates with scholars based in China, New Zealand and Poland. Sujun Tian's co-authors include Jiangdong Dai, Atian Xie, Ruilong Zhang, Yongsheng Yan, Zhongshuai Chang, Chunxiang Li, Yongsheng Yan, Wenna Ge, Jinsong He and Xiaohua Tian and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Colloid and Interface Science and Carbohydrate Polymers.

In The Last Decade

Sujun Tian

16 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujun Tian China 15 372 267 266 262 146 16 818
Ming Hang Tai Singapore 15 320 0.9× 187 0.7× 289 1.1× 288 1.1× 193 1.3× 22 763
Chenlu Jiao China 16 380 1.0× 205 0.8× 71 0.3× 254 1.0× 205 1.4× 28 823
Xiaoji Zhou China 14 455 1.2× 406 1.5× 164 0.6× 242 0.9× 83 0.6× 21 1.0k
Kanalli V. Ajeya South Korea 15 249 0.7× 306 1.1× 91 0.3× 172 0.7× 93 0.6× 23 838
Bhekie B. Mamba South Africa 19 429 1.2× 398 1.5× 126 0.5× 308 1.2× 79 0.5× 48 1.1k
Fan Lin China 15 683 1.8× 308 1.2× 186 0.7× 486 1.9× 106 0.7× 22 1.1k
Chichi Ruan China 10 274 0.7× 323 1.2× 62 0.2× 178 0.7× 71 0.5× 11 837
Renbi Bai China 20 657 1.8× 544 2.0× 198 0.7× 292 1.1× 91 0.6× 28 1.3k
Zhongshuai Chang China 12 270 0.7× 186 0.7× 71 0.3× 122 0.5× 54 0.4× 14 484
Nicholaus Prasetya United Kingdom 18 389 1.0× 547 2.0× 72 0.3× 283 1.1× 74 0.5× 35 1.3k

Countries citing papers authored by Sujun Tian

Since Specialization
Citations

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

Fields of papers citing papers by Sujun Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujun Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Sujun Tian. A scholar is included among the top collaborators of Sujun Tian 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 Sujun Tian. Sujun Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Tian, Xiaohua, Sujun Tian, Lulu Wang, et al.. (2022). Underwater superoleophobic GO-PEI-SiO2-Hal quaternary sphere-rod nacre-inspired mesh by LBL self-assembly for high-efficiency oil-water separation. Applied Clay Science. 232. 106772–106772. 9 indexed citations
2.
Wang, Lulu, Yi Wang, Jiangdong Dai, et al.. (2020). Coordination-driven interfacial cross-linked graphene oxide-alginate nacre mesh with underwater superoleophobicity for oil-water separation. Carbohydrate Polymers. 251. 117097–117097. 69 indexed citations
3.
Dai, Jiangdong, Lulu Wang, Yi Wang, et al.. (2020). Robust Nacrelike Graphene Oxide–Calcium Carbonate Hybrid Mesh with Underwater Superoleophobic Property for Highly Efficient Oil/Water Separation. ACS Applied Materials & Interfaces. 12(4). 4482–4493. 133 indexed citations
4.
Dai, Jiangdong, Sujun Tian, Yinhua Jiang, et al.. (2018). Fe3C/Fe/C Magnetic Hierarchical Porous Carbon with Micromesopores for Highly Efficient Chloramphenicol Adsorption: Magnetization, Graphitization, and Adsorption Properties Investigation. Industrial & Engineering Chemistry Research. 57(10). 3510–3522. 46 indexed citations
5.
Dai, Jiangdong, Atian Xie, Ruilong Zhang, et al.. (2018). Scalable preparation of hierarchical porous carbon from lignin for highly efficient adsorptive removal of sulfamethazine antibiotic. Journal of Molecular Liquids. 256. 203–212. 34 indexed citations
6.
Dai, Jiangdong, Zhongshuai Chang, Atian Xie, et al.. (2018). One-step assembly of Fe(III)-CMC chelate hydrogel onto nanoneedle-like CuO@Cu membrane with superhydrophilicity for oil-water separation. Applied Surface Science. 440. 560–569. 64 indexed citations
7.
Xie, Atian, Jiangdong Dai, Yu Chen, et al.. (2018). NaCl-template assisted preparation of porous carbon nanosheets started from lignin for efficient removal of tetracycline. Advanced Powder Technology. 30(1). 170–179. 40 indexed citations
8.
Dai, Jiangdong, Ling Qin, Ruilong Zhang, et al.. (2018). Sustainable bovine bone-derived hierarchically porous carbons with excellent adsorption of antibiotics: Equilibrium, kinetic and thermodynamic investigation. Powder Technology. 331. 162–170. 50 indexed citations
9.
Tian, Sujun, Jiangdong Dai, Yinhua Jiang, et al.. (2017). Facile preparation of intercrossed-stacked porous carbon originated from potassium citrate and their highly effective adsorption performance for chloramphenicol. Journal of Colloid and Interface Science. 505. 858–869. 51 indexed citations
10.
Chang, Zhongshuai, Jiangdong Dai, Atian Xie, et al.. (2017). From Lignin to Three-Dimensional Interconnected Hierarchically Porous Carbon with High Surface Area for Fast and Superhigh-Efficiency Adsorption of Sulfamethazine. Industrial & Engineering Chemistry Research. 56(33). 9367–9375. 39 indexed citations
11.
Dai, Jiangdong, Ruilong Zhang, Wenna Ge, et al.. (2017). 3D macroscopic superhydrophobic magnetic porous carbon aerogel converted from biorenewable popcorn for selective oil-water separation. Materials & Design. 139. 122–131. 101 indexed citations
12.
Dai, Jiangdong, Sujun Tian, Yinhua Jiang, et al.. (2017). Facile synthesis of porous carbon sheets from potassium acetate via in-situ template and self-activation for highly efficient chloramphenicol removal. Journal of Alloys and Compounds. 732. 222–232. 54 indexed citations
13.
He, Jinsong, Jiangdong Dai, Atian Xie, et al.. (2016). Preparation of macroscopic spherical porous carbons@carboxymethylcellulose sodium gel beads and application for removal of tetracycline. RSC Advances. 6(87). 84536–84546. 18 indexed citations
14.
He, Jinsong, Jiangdong Dai, Tao Zhang, et al.. (2016). Preparation of highly porous carbon from sustainable α-cellulose for superior removal performance of tetracycline and sulfamethazine from water. RSC Advances. 6(33). 28023–28033. 49 indexed citations
15.
Liu, Yan, Sujun Tian, Xiang‐Gao Meng, et al.. (2014). Synthesis, characterization, and adsorption properties of a Ce(III)-imprinted polymer supported by mesoporous SBA-15 matrix by a surface molecular imprinting technique. Canadian Journal of Chemistry. 92(3). 257–266. 15 indexed citations
16.

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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