Cong Tan

643 total citations
37 papers, 420 citations indexed

About

Cong Tan is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Cong Tan has authored 37 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 9 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Cong Tan's work include Cyclone Separators and Fluid Dynamics (8 papers), Aerosol Filtration and Electrostatic Precipitation (7 papers) and Wind and Air Flow Studies (5 papers). Cong Tan is often cited by papers focused on Cyclone Separators and Fluid Dynamics (8 papers), Aerosol Filtration and Electrostatic Precipitation (7 papers) and Wind and Air Flow Studies (5 papers). Cong Tan collaborates with scholars based in China, Australia and Japan. Cong Tan's co-authors include E Dianyu, Weiqi Sheng, Shujuan Ni, Aibing Yu, Jiaxin Cui, Shibo Kuang, Dan Huang, Rong Yan, Jian Wang and Bin Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Clinical Cancer Research.

In The Last Decade

Cong Tan

32 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Tan China 9 160 133 110 71 52 37 420
Huanyu Zhao China 13 361 2.3× 99 0.7× 57 0.5× 63 0.9× 19 0.4× 28 573
Fufeng Wang China 11 220 1.4× 73 0.5× 30 0.3× 114 1.6× 67 1.3× 27 465
Shiheng Zhang China 19 168 1.1× 395 3.0× 40 0.4× 109 1.5× 21 0.4× 28 939
Rou Chen China 13 56 0.3× 157 1.2× 26 0.2× 107 1.5× 88 1.7× 46 455
Qiongyao Wang China 11 129 0.8× 314 2.4× 23 0.2× 157 2.2× 16 0.3× 44 536
Zhenguo Sun China 14 99 0.6× 435 3.3× 51 0.5× 290 4.1× 45 0.9× 33 732
Zesheng Wang China 12 91 0.6× 189 1.4× 11 0.1× 57 0.8× 35 0.7× 44 547
Yaqi Zhang China 11 83 0.5× 127 1.0× 24 0.2× 60 0.8× 14 0.3× 34 419
Xiangfu Chen China 16 150 0.9× 454 3.4× 34 0.3× 231 3.3× 13 0.3× 43 705

Countries citing papers authored by Cong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Cong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Tan. A scholar is included among the top collaborators of Cong Tan 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 Cong Tan. Cong Tan 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.
Dianyu, E, Hongwei Hu, Cong Tan, et al.. (2025). Numerical study of the effect of cylinder–to–cone ratio on the classification performance in hydrocyclones. Powder Technology. 454. 120736–120736. 2 indexed citations
2.
Tan, Cong, Yao Huang, Lan Zhang, Jidong Zhang, & Na Li. (2025). Preparation and properties analysis of Ni-W/Si3N4 composite coating on 7075 aluminum alloy. Physica B Condensed Matter. 700. 416929–416929. 6 indexed citations
3.
Zhang, Tianqi, Xiaoyan Zhang, Yingxue Liu, et al.. (2025). Exosomal CCT6A Secreted by Cancer‐Associated Fibroblasts Interacts with β‐Catenin to Enhance Chemoresistance and Tumorigenesis in Gastric Cancer. Advanced Science. 12(38). e06674–e06674. 2 indexed citations
4.
Dianyu, E, Yuhao Zhang, Hongwei Hu, et al.. (2025). CFD data-driven CNN-LSTM for fast prediction of instantaneous flow characteristics in hydrocyclones. Minerals Engineering. 235. 109814–109814. 1 indexed citations
5.
Zhang, Yuhao, Cong Tan, Jiaxin Cui, et al.. (2025). A combined machine learning and mechanistic model for quickly predicting three-dimensional inner states of hydrocyclones. Separation and Purification Technology. 379. 135046–135046.
6.
Ding, Rui, Yi Li, Zhiqiang Chen, et al.. (2025). Mn doping activates the interfacial interaction of Pt/Mn-Ni3N toward efficient alkaline hydrogen production. Nano Energy. 146. 111553–111553.
7.
Dianyu, E, Hongwei Hu, Qing Ye, et al.. (2025). Multi-objective optimization of hydrocyclones inlet configurations for improving separation performance. Powder Technology. 456. 120772–120772. 3 indexed citations
8.
Dianyu, E, Jiaxin Cui, Qing Ye, et al.. (2024). Prediction of instantaneous flow characteristics of hydrocyclone with long short-term memory network based on computational fluid dynamics data. Powder Technology. 439. 119668–119668. 13 indexed citations
9.
Tan, Cong, Hongwei Hu, Qing Ye, et al.. (2024). Multi-objective optimization of hydrocyclones using meta-heuristic algorithms and preference-informed decision-making. Powder Technology. 444. 120050–120050. 13 indexed citations
10.
Dianyu, E, Cong Tan, Qing Ye, et al.. (2024). An optimization framework for achieving optimal hydrocyclone's performance aligning with decision-makers' preferences. Powder Technology. 448. 120233–120233. 4 indexed citations
11.
12.
Wang, Hanbo, Lan Zhang, Jia Deng, et al.. (2024). Microstructure and mechanical properties of ZrB2 ceramic particle reinforced AlCoCrFeNi high entropy alloy composite materials prepared by spark plasma sintering. Ceramics International. 50(22). 45311–45319. 15 indexed citations
13.
Zhang, Lan, Hewei Liu, Hongye Chen, et al.. (2024). Preparation of amorphous TiO2 films by RF magnetron sputtering: Process optimization and effect of sputtering pressure on electrochromic properties. Physica B Condensed Matter. 697. 416726–416726. 3 indexed citations
14.
Sun, Hui, Yuxi Liu, Wenchao Gu, et al.. (2024). The distribution and maturation of tertiary lymphoid structures can predict clinical outcomes of patients with gastric adenocarcinoma. Frontiers in Immunology. 15. 1396808–1396808. 4 indexed citations
15.
Ma, Huizhong, Yunlong Chen, Na Li, et al.. (2023). Process optimization and effect of sputtering pressure on electrochromic properties of flexible WO3 films prepared by DC magnetron sputtering. Physica B Condensed Matter. 654. 414728–414728. 10 indexed citations
16.
Sun, Bo, Haojie Chen, Cong Tan, et al.. (2023). The epigenetic modifier lysine methyltransferase 2C is frequently mutated in gastric remnant carcinoma. The Journal of Pathology Clinical Research. 9(5). 409–422. 2 indexed citations
17.
Gan, Lu, Qingguo Li, Wei Nie, et al.. (2022). PROX1-mediated epigenetic silencing of SIRT3 contributes to proliferation and glucose metabolism in colorectal cancer. International Journal of Biological Sciences. 19(1). 50–65. 8 indexed citations
18.
19.
Yan, Yihuan, et al.. (2019). Simulation Analysis of Flow Field in Engine Compartment of a Rear-Mounted Exhaust. IOP Conference Series Materials Science and Engineering. 562(1). 12056–12056.
20.
Liu, Zebing, Ping Wei, Yu Yang, et al.. (2015). BATF2 Deficiency Promotes Progression in Human Colorectal Cancer via Activation of HGF/MET Signaling: A Potential Rationale for Combining MET Inhibitors with IFNs. Clinical Cancer Research. 21(7). 1752–1763. 31 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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