Zhiwei Ji

2.1k total citations
37 papers, 1.6k citations indexed

About

Zhiwei Ji is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Zhiwei Ji has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Artificial Intelligence and 4 papers in Oncology. Recurrent topics in Zhiwei Ji's work include Anomaly Detection Techniques and Applications (7 papers), Mathematical Biology Tumor Growth (4 papers) and Building Energy and Comfort Optimization (3 papers). Zhiwei Ji is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Mathematical Biology Tumor Growth (4 papers) and Building Energy and Comfort Optimization (3 papers). Zhiwei Ji collaborates with scholars based in China, United States and Singapore. Zhiwei Ji's co-authors include Ke Yan, Jing Huang, Wen Shen, Guanmin Meng, Wen Shen, Meng Qi, Wei Li, Yang Du, Kai Jiang and Haigen Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Zhiwei Ji

35 papers receiving 1.5k citations

Peers

Zhiwei Ji
Yong Liang China
Jianye Hao China
Hongxu Chen China
Xiaohu Shi China
Ke Chen China
Wei Pang China
Mohd Saberi Mohamad Malaysia
Ru Nie China
Zne-Jung Lee Taiwan
Xiaodan Wang China
Yong Liang China
Zhiwei Ji
Citations per year, relative to Zhiwei Ji Zhiwei Ji (= 1×) peers Yong Liang

Countries citing papers authored by Zhiwei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Zhiwei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiwei Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwei Ji. A scholar is included among the top collaborators of Zhiwei Ji 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 Zhiwei Ji. Zhiwei Ji 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
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Huang, Jing, et al.. (2022). Single-channel EEG automatic sleep staging based on transition optimized HMM. Multimedia Tools and Applications. 81(30). 43063–43081. 2 indexed citations
4.
Zhao, Xin, Han Li, Shaocheng Lyu, et al.. (2021). Single-cell transcriptomics reveals heterogeneous progression and EGFR activation in pancreatic adenosquamous carcinoma. International Journal of Biological Sciences. 17(10). 2590–2605. 35 indexed citations
5.
Zhao, Xin, Zhigang Zhang, Weiling Zhao, et al.. (2020). Exploring and validating the clinical risk factors for pancreatic cancer in chronic pancreatitis patients using electronic medical records datasets: three cohorts comprising 2,960 patients. Translational Cancer Research. 9(2). 629–638. 7 indexed citations
6.
Zhang, Pei, et al.. (2019). Cross-situation consistency of mobile App users’ psychological needs. PLoS ONE. 14(4). e0215819–e0215819. 2 indexed citations
7.
Ji, Zhiwei, Weiling Zhao, Hui‐Kuan Lin, & Xiaobo Zhou. (2019). Systematically understanding the immunity leading to CRPC progression. PLoS Computational Biology. 15(9). e1007344–e1007344. 26 indexed citations
8.
Yan, Ke, Jing Huang, Wen Shen, & Zhiwei Ji. (2019). Unsupervised learning for fault detection and diagnosis of air handling units. Energy and Buildings. 210. 109689–109689. 140 indexed citations
9.
Yan, Ke, et al.. (2018). Semi-supervised learning for early detection and diagnosis of various air handling unit faults. Energy and Buildings. 181. 75–83. 131 indexed citations
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Yan, Ke, et al.. (2017). Accelerating smooth molecular surface calculation. Journal of Mathematical Biology. 76(3). 779–793. 8 indexed citations
12.
Ji, Zhiwei, et al.. (2017). A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. BMC Systems Biology. 11(S7). 127–127. 6 indexed citations
13.
Hu, Haigen, et al.. (2017). Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(3). 887–898. 28 indexed citations
14.
Yan, Ke, et al.. (2017). Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis. International Journal of Refrigeration. 86. 401–409. 110 indexed citations
15.
Peng, Huiming, Weiling Zhao, Hua Tan, et al.. (2016). Prediction of treatment efficacy for prostate cancer using a mathematical model. Scientific Reports. 6(1). 21599–21599. 35 indexed citations
16.
Moraes, Gabriela Nestal de, Pasarat Khongkow, Chun Gong, et al.. (2015). Forkhead box K2 modulates epirubicin and paclitaxel sensitivity through FOXO3a in breast cancer. Oncogenesis. 4(9). e167–e167. 35 indexed citations
17.
You, Zhu‐Hong, Jianqiang Li, Xin Gao, et al.. (2015). Detecting Protein-Protein Interactions with a Novel Matrix-Based Protein Sequence Representation and Support Vector Machines. BioMed Research International. 2015. 1–9. 38 indexed citations
18.
Ji, Zhiwei & Bing Wang. (2014). Identifying Potential Clinical Syndromes of Hepatocellular Carcinoma Using PSO-Based Hierarchical Feature Selection Algorithm. BioMed Research International. 2014. 1–12. 15 indexed citations
19.
Wang, Bing, et al.. (2013). Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinformatics. 14(S8). S9–S9. 7 indexed citations
20.
Ji, Zhiwei. (2010). Teaching Innovation and Practice in College Computer Application Basic Course. Computer education.

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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