Tian Guo

1.7k total citations
40 papers, 1.1k citations indexed

About

Tian Guo is a scholar working on Materials Chemistry, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tian Guo has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 10 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Tian Guo's work include Time Series Analysis and Forecasting (9 papers), Catalysts for Methane Reforming (5 papers) and Data Management and Algorithms (5 papers). Tian Guo is often cited by papers focused on Time Series Analysis and Forecasting (9 papers), Catalysts for Methane Reforming (5 papers) and Data Management and Algorithms (5 papers). Tian Guo collaborates with scholars based in China, Switzerland and United States. Tian Guo's co-authors include Lianping Wu, Teng Li, Karl Aberer, Tao Lin, Hao Xiong, Xiao Chen, Cunjun Wang, Xu Zhao, Fei Wei and Xin Yao and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and ACS Nano.

In The Last Decade

Tian Guo

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tian Guo China	18	416	272	258	163	136	40	1.1k
Mingwei Li China	22	454 1.1×	767 2.8×	107 0.4×	114 0.7×	19 0.1×	69	1.4k
Zhenpeng Liu China	20	414 1.0×	250 0.9×	570 2.2×	281 1.7×	51 0.4×	113	1.4k
Zhenlei Wang China	18	170 0.4×	200 0.7×	310 1.2×	61 0.4×	30 0.2×	38	1.1k
Ming Lei China	14	427 1.0×	196 0.7×	50 0.2×	16 0.1×	67 0.5×	50	1.3k
Qi Xiong China	27	390 0.9×	1.4k 5.3×	365 1.4×	138 0.8×	63 0.5×	95	2.2k
Jianjiang Wang China	22	241 0.6×	239 0.9×	156 0.6×	22 0.1×	80 0.6×	119	1.3k
Jiahui Ye China	19	245 0.6×	360 1.3×	133 0.5×	53 0.3×	41 0.3×	72	1.2k
Tianyi Xu China	17	314 0.8×	436 1.6×	305 1.2×	49 0.3×	10 0.1×	98	1.3k
Licheng Wu China	20	305 0.7×	157 0.6×	95 0.4×	91 0.6×	21 0.2×	122	1.5k
Liwen Ma China	25	174 0.4×	734 2.7×	98 0.4×	35 0.2×	18 0.1×	98	1.8k

Countries citing papers authored by Tian Guo

Since Specialization

Citations

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

Fields of papers citing papers by Tian Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Guo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Shulong, Song Yu, Tian Guo, et al.. (2024). High selectivity and abundant active sites in atomically dispersed TM2C12 monolayer for CO2 reduction. Fuel Processing Technology. 261. 108106–108106. 4 indexed citations

Guo, Tian, Zhengwen Li, Chenxi Zhang, et al.. (2024). Upgrading CO2 to sustainable aromatics via perovskite-mediated tandem catalysis. Nature Communications. 15(1). 3037–3037. 72 indexed citations

Xiong, Hao, et al.. (2024). Ultrasmall single-layered NbSe2 nanotubes flattened within a chemical-driven self-pressurized carbon nanotube. Nature Communications. 15(1). 475–475. 12 indexed citations

Li, Zonglong, Chenxi Zhang, Shuan Ma, et al.. (2024). Synthesis of 12-Connected Three-Dimensional Covalent Organic Framework with lnj Topology. Journal of the American Chemical Society. 146(7). 4327–4332. 30 indexed citations

Guo, Tian, et al.. (2024). Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow. 1028–1045.

Guo, Tian, Xiaoyu Liang, Hao Xiong, Chenxi Zhang, & Fei Wei. (2023). A perspective of CO_x conversion to aromatics. EES Catalysis. 1(5). 677–686. 13 indexed citations

Guo, Tian, Xinyan Liu, Chenxi Zhang, et al.. (2022). Accelerating syngas-to-aromatic conversion via spontaneously monodispersed Fe in ZnCr2O4 spinel. Nature Communications. 13(1). 5567–5567. 55 indexed citations

Wu, Lianping, Tian Guo, & Teng Li. (2022). Data‐Driven High‐Throughput Rational Design of Double‐Atom Catalysts for Oxygen Evolution and Reduction. Advanced Functional Materials. 32(31). 85 indexed citations

Wu, Lianping, Tian Guo, & Teng Li. (2021). Machine learning-accelerated prediction of overpotential of oxygen evolution reaction of single-atom catalysts. iScience. 24(5). 102398–102398. 79 indexed citations

10.

Guo, Tian, Lianping Wu, & Teng Li. (2021). Machine Learning Accelerated, High Throughput, Multi‐Objective Optimization of Multiprincipal Element Alloys. Small. 17(42). e2102972–e2102972. 33 indexed citations

11.

Wu, Lianping, Tian Guo, & Teng Li. (2020). Rational design of transition metal single-atom electrocatalysts: a simulation-based, machine learning-accelerated study. Journal of Materials Chemistry A. 8(37). 19290–19299. 75 indexed citations

12.

Guo, Tian, Tao Lin, & Nino Antulov-Fantulin. (2019). Exploring interpretable LSTM neural networks over multi-variable data. International Conference on Machine Learning. 2494–2504. 6 indexed citations

13.

Guo, Tian, et al.. (2019). Statistical embedding for directed graphs.. arXiv (Cornell University). 1 indexed citations

14.

Guo, Tian, Tao Lin, & Yao Lu. (2018). An interpretable LSTM neural network for autoregressive exogenous model. International Conference on Learning Representations. 2 indexed citations

15.

Krishna, Vaibhav, Tian Guo, & Nino Antulov-Fantulin. (2018). Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. arXiv (Cornell University). 1289–1293. 6 indexed citations

16.

He, Bingchen, Tian Guo, Jian Gou, et al.. (2018). Structural and electronic properties of atomically thin Bismuth on Au(111). Surface Science. 679. 147–153. 31 indexed citations

17.

Guo, Tian, et al.. (2018). Structural health monitoring using DOG multi-scale space: an approach for analyzing damage characteristics. Smart Materials and Structures. 27(3). 35009–35009. 4 indexed citations

18.

Lin, Tao, Tian Guo, & Karl Aberer. (2017). Hybrid Neural Networks for Learning the Trend in Time Series. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2273–2279. 101 indexed citations

19.

Guo, Tian, et al.. (2017). Data fusion of multi-scale representations for structural damage detection. Mechanical Systems and Signal Processing. 98. 1020–1033. 22 indexed citations

20.

Kang, Houjun, et al.. (2016). Modeling and parametric analysis of arch bridge with transfer matrix method. Applied Mathematical Modelling. 40(23-24). 10578–10595. 19 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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