Tingjun Fu

1.9k total citations
64 papers, 1.6k citations indexed

About

Tingjun Fu is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Tingjun Fu has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Materials Chemistry, 45 papers in Inorganic Chemistry and 20 papers in Mechanical Engineering. Recurrent topics in Tingjun Fu's work include Catalytic Processes in Materials Science (42 papers), Zeolite Catalysis and Synthesis (42 papers) and Mesoporous Materials and Catalysis (28 papers). Tingjun Fu is often cited by papers focused on Catalytic Processes in Materials Science (42 papers), Zeolite Catalysis and Synthesis (42 papers) and Mesoporous Materials and Catalysis (28 papers). Tingjun Fu collaborates with scholars based in China, Italy and Canada. Tingjun Fu's co-authors include Zhong Li, Zhenhua Li, Juan Shao, Jing Lv, Huayan Zheng, Ma Qian, Guoqiang Zhang, Yujie Wang, Yuchun Wang and Liping Cui and has published in prestigious journals such as Langmuir, Applied Catalysis B: Environmental and Chemical Communications.

In The Last Decade

Tingjun Fu

60 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingjun Fu China 23 1.1k 785 698 439 390 64 1.6k
Subing Fan China 22 1.1k 0.9× 610 0.8× 1.1k 1.6× 476 1.1× 339 0.9× 67 1.7k
Katia Barbera Italy 19 1.7k 1.5× 913 1.2× 1.4k 1.9× 568 1.3× 509 1.3× 24 2.4k
Chuang Xing China 22 883 0.8× 238 0.3× 874 1.3× 366 0.8× 377 1.0× 65 1.3k
L.P. Teh Malaysia 23 1.1k 0.9× 197 0.3× 875 1.3× 438 1.0× 295 0.8× 48 1.5k
Xingtian Shu China 21 1.1k 0.9× 1.0k 1.3× 372 0.5× 367 0.8× 235 0.6× 88 1.4k
Kenta Iyoki Japan 21 1.5k 1.3× 1.4k 1.8× 677 1.0× 305 0.7× 143 0.4× 78 2.0k
Minghuang Qiu China 23 1.5k 1.3× 737 0.9× 1.4k 2.0× 456 1.0× 320 0.8× 35 2.3k
Lide Oar‐Arteta Spain 20 764 0.7× 397 0.5× 562 0.8× 382 0.9× 238 0.6× 22 1.3k
Vijay K. Velisoju Saudi Arabia 20 720 0.6× 238 0.3× 470 0.7× 265 0.6× 293 0.8× 53 1.1k
Adrian Ungureanu Romania 21 872 0.8× 292 0.4× 345 0.5× 412 0.9× 490 1.3× 46 1.3k

Countries citing papers authored by Tingjun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Tingjun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingjun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingjun Fu. A scholar is included among the top collaborators of Tingjun Fu 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 Tingjun Fu. Tingjun Fu 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.
Liu, Yuyu, et al.. (2025). Highly dispersed ZnZrOx supported on silicalite-1 boost synergistic catalysis with HZSM-5 for benzene alkylation with CO2/H2. Journal of environmental chemical engineering. 13(3). 116704–116704.
2.
Li, Caiyan, Tingjun Fu, Ruwei Yao, et al.. (2025). Assembly of ZSM-5 crystals on biomass platform via nucleus induction method for robust methanol aromatization. Chemical Engineering Science. 307. 121329–121329.
4.
Guo, Yifan, Ran Wang, Liangliang Zhang, Tingjun Fu, & Zhong Li. (2024). Constructing hollow bivalve nanocomposite ZSM-5 with inverse Al zoned distribution to strengthen the stepwise conversion of methanol to aromatics. Applied Catalysis A General. 689. 120008–120008.
5.
Sun, Qingqing, et al.. (2024). An intelligent dual stimuli-responsive Pickering emulsion for highly efficiently producing waste frying oil-based biodiesel. Journal of Cleaner Production. 436. 140638–140638. 9 indexed citations
6.
Wu, Xueqing, Chuntao Cao, Ruwei Yao, Tingjun Fu, & Zhong Li. (2024). A core-shell structured S-1@ZSM-5 catalyst with thin shell and weak surface acidity for stable methanol aromatization to para-xylene. Fuel. 375. 132647–132647. 2 indexed citations
7.
Kong, Lingwei, et al.. (2024). Mechanochemistry induced various surface microstructural transformation in hard/soft carbons for sodium storage. Journal of Energy Storage. 103. 114439–114439. 3 indexed citations
8.
9.
Fu, Tingjun, et al.. (2023). Intensified shape selectivity and alkylation reaction for the two-step conversion of methanol aromatization to p-xylene. Chinese Journal of Chemical Engineering. 59. 240–250. 1 indexed citations
10.
Sun, Qingqing, et al.. (2023). Polyacrylonitrile fiber with light-driven intelligent reversible and switchable wettability as an environmental benign solid base for biodiesel production. Journal of Cleaner Production. 408. 137101–137101. 7 indexed citations
12.
Fu, Tingjun, et al.. (2023). Constructing silanol nests on ZSM-5 catalyst by deboronation for stable alkylation of toluene with methanol. Microporous and Mesoporous Materials. 354. 112551–112551. 6 indexed citations
13.
Fu, Tingjun, Chuntao Cao, Liangliang Zhang, et al.. (2023). Synergistic Catalysis of Brønsted Acid, Al-Lewis Acid, and Zn-Lewis Acid on Steam-Treated Zn/ZSM-5 for Highly Stable Conversion of Methanol to Aromatics. Industrial & Engineering Chemistry Research. 62(4). 1865–1876. 8 indexed citations
14.
Fu, Tingjun, et al.. (2023). Constructing macroscopic core@shell catalyst to boost tandem catalysis of methanol to aromatic. Chemical Engineering Journal. 462. 142252–142252. 16 indexed citations
15.
Fu, Tingjun, et al.. (2023). Integration of Nano-Sized HZSM-5 with ZnZrOx as a Bifunctional Catalyst to Boost Benzene Alkylation with Carbon Dioxide and Hydrogen. ACS Sustainable Chemistry & Engineering. 11(35). 12967–12982. 9 indexed citations
16.
Shao, Juan, Tingjun Fu, & Zhong Li. (2020). The selective and stable synthesis of aromatics from methanol via two-step route using light alkenes as intermediates. Fuel. 280. 118609–118609. 21 indexed citations
17.
Fu, Tingjun, et al.. (2017). Facile synthesis of nano-sized hollow ZSM-5 zeolites with rich mesopores in shell. Microporous and Mesoporous Materials. 250. 43–46. 34 indexed citations
18.
Fu, Tingjun, Hao Zhou, & Zhong Li. (2016). Effect of Particle Morphology for ZSM-5 Zeolite on the Catalytic Conversion of Methanol to Gasoline-Range Hydrocarbons. Catalysis Letters. 146(10). 1973–1983. 24 indexed citations
19.
Fu, Tingjun, Jing Lv, & Zhenhua Li. (2014). Effect of Carbon Porosity and Cobalt Particle Size on the Catalytic Performance of Carbon Supported Cobalt Fischer–Tropsch Catalysts. Industrial & Engineering Chemistry Research. 53(4). 1342–1350. 66 indexed citations
20.
Fu, Tingjun, et al.. (2013). Effect of carbon support on Fischer–Tropsch synthesis activity and product distribution over Co-based catalysts. Fuel Processing Technology. 110. 141–149. 83 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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