Yeqi Liu

2.3k total citations · 2 hit papers
46 papers, 1.7k citations indexed

About

Yeqi Liu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Water Science and Technology. According to data from OpenAlex, Yeqi Liu has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 8 papers in Water Science and Technology. Recurrent topics in Yeqi Liu's work include Perovskite Materials and Applications (11 papers), Luminescence Properties of Advanced Materials (8 papers) and Water Quality Monitoring Technologies (8 papers). Yeqi Liu is often cited by papers focused on Perovskite Materials and Applications (11 papers), Luminescence Properties of Advanced Materials (8 papers) and Water Quality Monitoring Technologies (8 papers). Yeqi Liu collaborates with scholars based in China, United States and Malaysia. Yeqi Liu's co-authors include Yingyi Chen, Lihua Song, Chuanyang Gong, Ling Yang, Daoliang Li, Ling Yang, Huihui Yu, Yuhai Zhang, Qian Zhang and Xiaojia Wang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Yeqi Liu

43 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Review of the Artificial Neural Network Models for Water Quality Prediction

2020 300 citations Yingyi Chen, Lihua Song et al. Applied Sciences profile →
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

2019 271 citations Yeqi Liu, Chuanyang Gong et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yeqi Liu China	19	457	396	360	313	191	46	1.7k
Yaoguang Wei China	31	972 2.1×	493 1.2×	107 0.3×	274 0.9×	165 0.9×	107	2.7k
Tao Cheng China	21	144 0.3×	141 0.4×	115 0.3×	201 0.6×	171 0.9×	66	1.5k
Hao Zheng China	23	241 0.5×	231 0.6×	194 0.5×	143 0.5×	115 0.6×	126	1.8k
Hongbin Liu China	27	441 1.0×	150 0.4×	145 0.4×	526 1.7×	195 1.0×	102	2.4k
Mehdi Bahrami Iran	23	459 1.0×	117 0.3×	211 0.6×	206 0.7×	111 0.6×	108	1.5k
Yihao Zhang China	22	72 0.2×	403 1.0×	192 0.5×	78 0.2×	88 0.5×	177	1.9k
Jinwei Liu China	25	269 0.6×	268 0.7×	163 0.5×	57 0.2×	204 1.1×	141	2.0k
Dong Ha Lee South Korea	25	259 0.6×	373 0.9×	88 0.2×	327 1.0×	73 0.4×	155	2.1k
Benoît Chachuat United Kingdom	30	225 0.5×	210 0.5×	167 0.5×	95 0.3×	79 0.4×	148	3.0k
Manmohan Singh India	17	207 0.5×	293 0.7×	558 1.6×	34 0.1×	160 0.8×	62	1.8k

Countries citing papers authored by Yeqi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yeqi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeqi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yeqi Liu. A scholar is included among the top collaborators of Yeqi Liu 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 Yeqi Liu. Yeqi Liu 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

Cao, Juan, et al.. (2025). Research Progress of Sodium Alginate-Based Hydrogels in Biomedical Engineering. Gels. 11(9). 758–758. 2 indexed citations

Wei, Jun, et al.. (2025). New Transparent Rare‐Earth‐Based Hybrid Glasses: Synthesis, Luminescence, and X‐Ray Imaging Application. Aggregate. 6(5). 7 indexed citations

Liu, Yeqi, et al.. (2024). Segmentation-assisted classification model with convolutional neural network for weld defect detection. Advances in Engineering Software. 198. 103788–103788. 7 indexed citations

Cao, Juan, Bo Wu, Ping Yuan, Yeqi Liu, & Cheng Hu. (2024). Progress of Research on Conductive Hydrogels in Flexible Wearable Sensors. Gels. 10(2). 144–144. 27 indexed citations

Cao, Juan, Bo Wu, Ping Yuan, Yeqi Liu, & Cheng Hu. (2024). Advances in Research of Hydrogel Microneedle-Based Delivery Systems for Disease Treatment. Pharmaceutics. 16(12). 1571–1571. 8 indexed citations

Qiu, Rui, Ankang Hu, Yeqi Liu, et al.. (2024). Normalized glandular dose coefficients for digital breast tomosynthesis using detailed Chinese breast models. Nuclear Science and Techniques. 35(5). 1 indexed citations

Wang, Xiaojia, et al.. (2024). Shape-on-demand synthesis of luminescent (ETP)2MnBr4 glass scintillator. Chemical Engineering Journal. 483. 149239–149239. 27 indexed citations

Wang, Zihan, et al.. (2024). Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation. 13753–13762. 2 indexed citations

Liu, Yeqi, Ankang Hu, Zhen Wu, et al.. (2024). THUBreast: an open-source breast phantom generation software for x-ray imaging and dosimetry. Physics in Medicine and Biology. 69(6). 65004–65004. 1 indexed citations

10.

Liu, Yeqi, Xiangzhou Zhang, Xiaojia Wang, et al.. (2023). Ultralong afterglow and unity quantum yield from a transparent CsCdCl₃:Mn crystal. SHILAP Revista de lepidopterología. 4(4). 24 indexed citations

11.

Cao, Juan, Bo Wu, Ping Yuan, Yeqi Liu, & Cheng Hu. (2023). Rational Design of Multifunctional Hydrogels for Wound Repair. Journal of Functional Biomaterials. 14(11). 553–553. 11 indexed citations

12.

Cao, Juan, Ping Yuan, Bo Wu, Yeqi Liu, & Cheng Hu. (2023). Advances in the Research and Application of Smart-Responsive Hydrogels in Disease Treatment. Gels. 9(8). 662–662. 22 indexed citations

13.

Cao, Juan, Wu Zhao, Huicong Hu, Yeqi Liu, & Xin Guo. (2022). Using Linkography and Situated FBS Co-Design Model to Explore User Participatory Conceptual Design Process. Processes. 10(4). 713–713. 3 indexed citations

14.

Wang, Yuan, Yeqi Liu, Jinglei Chen, et al.. (2022). Highly Luminescent and Stable Organic–Inorganic Hybrid Films for Transparent Luminescent Solar Concentrators. ACS Applied Materials & Interfaces. 14(4). 5951–5958. 30 indexed citations

15.

Zheng, Wei, Ruijia Sun, Yeqi Liu, et al.. (2021). Excitation Management of Lead-Free Perovskite Nanocrystals Through Doping. ACS Applied Materials & Interfaces. 13(5). 6404–6410. 50 indexed citations

16.

Zhou, Wei, Yufei Shen, Ying Tao, et al.. (2020). Fast convergence RWA algorithm based on ant colony algorithm. 1–3. 2 indexed citations

17.

Chen, Yingyi, Lihua Song, Yeqi Liu, Ling Yang, & Daoliang Li. (2020). A Review of the Artificial Neural Network Models for Water Quality Prediction. Applied Sciences. 10(17). 5776–5776. 300 indexed citations breakdown →

18.

Liu, Yeqi, Chuanyang Gong, Ling Yang, & Yingyi Chen. (2019). DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction. Expert Systems with Applications. 143. 113082–113082. 271 indexed citations breakdown →

19.

Liu, Yeqi, Qian Zhang, Lihua Song, & Yingyi Chen. (2019). Attention-based recurrent neural networks for accurate short-term and long-term dissolved oxygen prediction. Computers and Electronics in Agriculture. 165. 104964–104964. 115 indexed citations

20.

Lin, Min, Lihua Li, Paul N. Epstein, et al.. (2008). Maternal Diabetes Alters the Activity of Ca2+ and Ca2+‐Activated K+ Channels Cardiac Motoneurons in the Nucleus Ambiguus (NA) of Neonatal Mice. The FASEB Journal. 22(S1). 1 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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