Yeqi Liu

2.3k citations
46 papers · 1.7k indexed · 2 hit papers · h-index 19
Topics
Perovskite Materials and Applications (11 papers)Luminescence Properties of Advanced Materials (8 papers)Water Quality Monitoring Technologies (8 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaACS Nano

In The Last Decade

Yeqi Liu

43 papers receiving 1.6k citations

Hit Papers

A Review of the Artificial Neural Network Models for Wate...201920262021202320202019100200300

Peers

Yeqi Liu
Comparison fields: 5 of 144
  • Water Science and Technology 457
  • Electrical and Electronic Engineering 396
  • Materials Chemistry 360
  • Environmental Engineering 313
  • Artificial Intelligence 191
Replace Mehdi Bahrami with:
Mehdi Bahrami Iran
Manmohan Singh India
Tao Shen China
Jingjie Zhang China
Guoning Chen United States
Lei Lei China
Juntao Liu China
K. S. Rajan India
Jinglin Zhang China
Shihu Liu China
Yeqi Liu relative to Mehdi Bahrami Iran Mehdi Bahrami's profile →
Citations per field
00.5×3.4×
Mehdi Bahrami · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 7
3 7
4 27
5 8
6 1
7 27
8 2
9 1
10 24
11 11
12 22
13 3
14 30
15 50
16 2
17
A Review of the Artificial Neural Network Models for Water Quality Predictionbreakdown →
300
18
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series predictionbreakdown →
271
19 115
20 1

About Yeqi Liu

Yeqi Liu is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Molecular Medicine, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (11 papers), Luminescence Properties of Advanced Materials (8 papers) and Water Quality Monitoring Technologies (8 papers). The work is most often cited by research in Water Science and Technology (457 citations), Environmental Engineering (313 citations) and Industrial and Manufacturing Engineering (127 citations). Yeqi Liu has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yingyi Chen, Lihua Song, Chuanyang Gong, Ling Yang, Daoliang Li, Ling Yang, Huihui Yu, Yuhai Zhang, Qian Zhang and Xiaojia Wang. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

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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