Hualing Yi

565 total citations
13 papers, 412 citations indexed

About

Hualing Yi is a scholar working on Artificial Intelligence, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Hualing Yi has authored 13 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Environmental Engineering and 4 papers in Water Science and Technology. Recurrent topics in Hualing Yi's work include Topic Modeling (5 papers), Water Quality Monitoring Technologies (4 papers) and Hydrological Forecasting Using AI (4 papers). Hualing Yi is often cited by papers focused on Topic Modeling (5 papers), Water Quality Monitoring Technologies (4 papers) and Hydrological Forecasting Using AI (4 papers). Hualing Yi collaborates with scholars based in China, Saudi Arabia and United Kingdom. Hualing Yi's co-authors include Qingyu Xiong, Min Gao, Yang Yu, Chao Wu, Yurong Yang, Qiude Li, Chao Wu, Yanyan Yang, Peng Lin and Shuiping Cheng and has published in prestigious journals such as Water Research, Information Sciences and Environmental Science and Pollution Research.

In The Last Decade

Hualing Yi

13 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hualing Yi China 8 205 179 137 57 38 13 412
Haijiang Tai China 7 165 0.8× 228 1.3× 52 0.4× 94 1.6× 49 1.3× 17 385
Muhammad Ary Murti Indonesia 12 118 0.6× 98 0.5× 131 1.0× 26 0.5× 103 2.7× 81 493
Asad Ali Shah United States 7 220 1.1× 248 1.4× 72 0.5× 76 1.3× 13 0.3× 19 456
Thi-Thu-Hong Phan Vietnam 9 185 0.9× 156 0.9× 56 0.4× 32 0.6× 49 1.3× 25 428
Wenqiang Liu China 11 60 0.3× 109 0.6× 80 0.6× 22 0.4× 76 2.0× 26 444
Josiah Adeyemo South Africa 15 73 0.4× 175 1.0× 81 0.6× 53 0.9× 54 1.4× 48 524
Hajar Feizi Iran 8 164 0.8× 130 0.7× 45 0.3× 14 0.2× 69 1.8× 10 322
Iván Machón-González Spain 9 63 0.3× 88 0.5× 114 0.8× 40 0.7× 37 1.0× 36 340
Farshad Rezaei Iran 13 131 0.6× 140 0.8× 109 0.8× 11 0.2× 46 1.2× 18 463

Countries citing papers authored by Hualing Yi

Since Specialization
Citations

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

Fields of papers citing papers by Hualing Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hualing Yi

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

All Works

13 of 13 papers shown
1.
Xiong, Qingyu, et al.. (2024). MCICT: Graph convolutional network-based end-to-end model for multi-label classification of imbalanced clinical text. Biomedical Signal Processing and Control. 91. 105873–105873. 6 indexed citations
2.
Wu, Chao, et al.. (2024). Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis. Information Sciences. 690. 121523–121523. 2 indexed citations
3.
Xiong, Qingyu, et al.. (2023). SimCPD: a simple framework for contrastive prompts of target-aspect-sentiment joint detection. Neural Computing and Applications. 35(22). 16577–16592. 4 indexed citations
4.
Lin, Peng, Min Gao, Hualing Yi, et al.. (2022). TLT: Recurrent fine-tuning transfer learning for water quality long-term prediction. Water Research. 225. 119171–119171. 75 indexed citations
5.
Xiong, Qingyu, et al.. (2022). Prior-Bert and Multi-Task Learning for Target-Aspect-Sentiment Joint Detection. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7817–7821. 4 indexed citations
6.
Wang, Mingwei, et al.. (2022). Review on Offloading of Vehicle Edge Computing. 23 indexed citations
7.
Gao, Min, et al.. (2022). FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation. Computer Speech & Language. 78. 101461–101461. 5 indexed citations
8.
Yang, Yurong, Qingyu Xiong, Chao Wu, et al.. (2021). A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism. Environmental Science and Pollution Research. 28(39). 55129–55139. 124 indexed citations
9.
Li, Qiude, et al.. (2021). A method for mixed data classification base on RBF-ELM network. Neurocomputing. 431. 7–22. 26 indexed citations
10.
Wu, Chao, Qingyu Xiong, Hualing Yi, et al.. (2021). Multiple-element joint detection for Aspect-Based Sentiment Analysis. Knowledge-Based Systems. 223. 107073–107073. 46 indexed citations
11.
Xiong, Qingyu, et al.. (2020). A water quality prediction method based on the multi-time scale bidirectional long short-term memory network. Environmental Science and Pollution Research. 27(14). 16853–16864. 70 indexed citations
13.
Yi, Hualing, et al.. (2019). A Novel Random Forest and its Application on Classification of Air Quality. 35–38. 18 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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