Junrui Liu

439 total citations
18 papers, 369 citations indexed

About

Junrui Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Junrui Liu has authored 18 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Junrui Liu's work include Remote-Sensing Image Classification (3 papers), Phosphorus and nutrient management (3 papers) and Machine Learning and ELM (2 papers). Junrui Liu is often cited by papers focused on Remote-Sensing Image Classification (3 papers), Phosphorus and nutrient management (3 papers) and Machine Learning and ELM (2 papers). Junrui Liu collaborates with scholars based in China, Canada and United States. Junrui Liu's co-authors include Yanming Shao, He Zhang, Yanfeng Li, Junjun Ma, Lincheng Zhou, Yan Jia, Zhengfang Ye, Shuying Li, Xuefeng Jiang and Wenbo Liu and has published in prestigious journals such as ACS Applied Materials & Interfaces, Inorganic Chemistry and Information Sciences.

In The Last Decade

Junrui Liu

18 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junrui Liu China 8 147 115 101 60 57 18 369
Rui Gong China 12 237 1.6× 145 1.3× 34 0.3× 77 1.3× 119 2.1× 40 673
Lan Liu China 11 120 0.8× 160 1.4× 163 1.6× 166 2.8× 62 1.1× 43 581
T. Anitha India 10 239 1.6× 49 0.4× 20 0.2× 49 0.8× 95 1.7× 29 505
Kai He China 9 153 1.0× 87 0.8× 28 0.3× 77 1.3× 20 0.4× 43 450
Khairul Hamimah Abas Malaysia 12 209 1.4× 105 0.9× 46 0.5× 81 1.4× 43 0.8× 43 471
Yan Long China 10 202 1.4× 98 0.9× 166 1.6× 123 2.0× 89 1.6× 35 424
Chengduan Wang China 12 53 0.4× 97 0.8× 43 0.4× 36 0.6× 22 0.4× 31 451

Countries citing papers authored by Junrui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junrui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junrui Liu

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

All Works

18 of 18 papers shown
1.
Liu, Jin, Zi‐Ang Nan, Ting Chen, et al.. (2024). Soaking the Rare-Earth Carbonates for a Change: An Alternative Approach to Explore Carbonate Nonlinear Optical Crystals. Inorganic Chemistry. 63(13). 5945–5951. 1 indexed citations
2.
Liu, Bo, et al.. (2023). Semi-supervised Multi-task Learning with Auxiliary data. Information Sciences. 626. 626–639. 4 indexed citations
3.
Sun, Ling, Guiqiong Liu, Xunping Jiang, et al.. (2023). LAD-RCNN: A Powerful Tool for Livestock Face Detection and Normalization. Animals. 13(9). 1446–1446. 8 indexed citations
4.
Xu, Xiaofeng, Ruonan Li, Jing‐Lin Chen, et al.. (2022). Enhancing the Phosphate Adsorption of a Polyallylamine Resin in Alkaline Environments by Lanthanum Oxalate Modification. ACS Omega. 7(23). 19743–19753. 8 indexed citations
5.
Li, Ruonan, Xiaofeng Xu, Junrui Liu, et al.. (2022). Effect of Fe(III) Modification on the Phosphorus Removal Behavior of Ce(III) Carbonate Adsorbents. ACS Omega. 7(36). 31767–31777. 7 indexed citations
6.
Liu, Junrui, et al.. (2022). Tree traversal synthesis using domain-specific symbolic compilation. 1030–1042. 3 indexed citations
7.
Liu, Junrui, Jing‐Lin Chen, Xiaofeng Xu, et al.. (2022). K+-Site Ce-Doped Jarosite for Phosphate Adsorption: a Mechanism Study. Acta Chimica Sinica. 80(4). 476–476. 2 indexed citations
8.
Liu, Bo, et al.. (2022). A new self-paced learning method for privilege-based positive and unlabeled learning. Information Sciences. 609. 996–1009. 5 indexed citations
9.
Liu, Bo, et al.. (2022). Adaptive robust Adaboost-based twin support vector machine with universum data. Information Sciences. 609. 1334–1352. 15 indexed citations
10.
Liu, Junrui, et al.. (2022). Classifying Hyperspectral Images with Capsule Network and Active Learning. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 2. 3624–3627. 3 indexed citations
11.
Zhang, Yue, et al.. (2020). Spectral–Spatial Hyperspectral Image Classification Using Dual-Channel Capsule Networks. IEEE Geoscience and Remote Sensing Letters. 18(6). 1094–1098. 23 indexed citations
12.
Jiang, Xuefeng, et al.. (2019). CapsNet, CNN, FCN: Comparative Performance Evaluation for Image Classification. International Journal of Machine Learning and Computing. 9(6). 840–848. 50 indexed citations
13.
Lin, Wei, et al.. (2019). A Method of Pedestrian Trajectory Prediction Based on LSTM. 79–84. 4 indexed citations
14.
Lin, Jianzhe, et al.. (2018). A Coarse-to-Fine Optimization for Hyperspectral Band Selection. IEEE Geoscience and Remote Sensing Letters. 16(4). 638–642. 7 indexed citations
15.
Jiang, Xuefeng, et al.. (2015). MKLS-SVR based remaining useful life prediction for avionics. 7. 223–227. 1 indexed citations
16.
Zhou, Lincheng, Yanming Shao, Junrui Liu, et al.. (2014). Preparation and Characterization of Magnetic Porous Carbon Microspheres for Removal of Methylene Blue by a Heterogeneous Fenton Reaction. ACS Applied Materials & Interfaces. 6(10). 7275–7285. 222 indexed citations
17.
Liu, Junrui, et al.. (2011). The Degradation of Reactive Black Wastewater by Fe/Cu Co-doped TiO2. International Journal of Chemistry. 3(3). 5 indexed citations
18.
Zeng, Xiaohui, et al.. (2005). A High Reliable Multi-cluster Computing Platform Based on the B/S Mode.. Parallel and Distributed Processing Techniques and Applications. 294–300. 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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