Jie Hou

5.5k total citations
166 papers, 3.0k citations indexed

About

Jie Hou is a scholar working on Molecular Biology, Materials Chemistry and Plant Science. According to data from OpenAlex, Jie Hou has authored 166 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 42 papers in Materials Chemistry and 24 papers in Plant Science. Recurrent topics in Jie Hou's work include Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (19 papers) and Machine Learning in Bioinformatics (14 papers). Jie Hou is often cited by papers focused on Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (19 papers) and Machine Learning in Bioinformatics (14 papers). Jie Hou collaborates with scholars based in China, United States and Macao. Jie Hou's co-authors include Jianlin Cheng, Badri Adhikari, Renzhi Cao, Tianqi Wu, Chen Chen, Debswapna Bhattacharya, John J. Tanner, Zhiye Guo, James A. Birchler and Xiaowen Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Jie Hou

157 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Hou China 30 1.5k 561 392 244 227 166 3.0k
Ning Zhang China 33 1.5k 1.0× 316 0.6× 293 0.7× 230 0.9× 186 0.8× 261 4.0k
Bo Li China 33 2.3k 1.5× 202 0.4× 280 0.7× 179 0.7× 333 1.5× 198 4.3k
Chien‐Yu Chen Taiwan 34 2.3k 1.5× 600 1.1× 403 1.0× 715 2.9× 223 1.0× 198 5.2k
Peng Chen China 32 1.1k 0.7× 361 0.6× 919 2.3× 177 0.7× 505 2.2× 210 4.0k
Lu Xie China 40 4.0k 2.6× 430 0.8× 168 0.4× 219 0.9× 196 0.9× 223 6.3k
Aidi Zhang China 29 883 0.6× 878 1.6× 753 1.9× 363 1.5× 67 0.3× 96 3.1k
Daniel Hoffmann Germany 38 2.1k 1.4× 427 0.8× 131 0.3× 103 0.4× 161 0.7× 175 4.8k
Shaun M. Kandathil United Kingdom 15 981 0.6× 319 0.6× 395 1.0× 45 0.2× 187 0.8× 24 2.3k
Jian Huang China 42 3.9k 2.6× 314 0.6× 333 0.8× 123 0.5× 340 1.5× 333 6.1k

Countries citing papers authored by Jie Hou

Since Specialization
Citations

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

Fields of papers citing papers by Jie Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Hou. A scholar is included among the top collaborators of Jie Hou 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 Jie Hou. Jie Hou 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
1.
Wang, Lijuan, Yuan Wang, Chun‐Lin Jia, et al.. (2025). Molecular template engineering hierarchical porous Fe–N-C with tunable Fe3O4 particle size for efficient oxygen reduction reaction. Advanced Composites and Hybrid Materials. 8(4). 1 indexed citations
2.
Zhou, Jinhua, Shijie Zhang, Ruijie Song, et al.. (2025). First-principles screening of the physical and hydrogen storage properties of Rh-based perovskites XRhH3 (X = Ca, Ba) for hydrogen storage applications. Physica Scripta. 100(8). 0859a6–0859a6. 1 indexed citations
3.
Zhang, Lei, Yang Wang, Xiaohong Chen, et al.. (2025). GOBoost: leveraging long-tail gene ontology terms for accurate protein function prediction. Bioinformatics. 41(6).
4.
Zhang, Jingyi, Shanjun Chen, Jie Hou, et al.. (2024). First-principles study of mechanical, electronic structure, optical, thermodynamic properties and hydrogen storage for new hydride perovskites XInH3 (X=Rb, Cs)*. Physica B Condensed Matter. 695. 416488–416488. 11 indexed citations
5.
Hou, Jie, Dennis Wang, & Jing Su. (2024). A cultural adaptation and testing on the reliability and validity of the Chinese version of the Menopause Symptom Assessment Scale. Menopause The Journal of The North American Menopause Society. 32(1). 64–71. 2 indexed citations
6.
Zhang, Jingyi, Yan Chen, Shanjun Chen, et al.. (2024). First-principles study of mechanical, electronic structure, and optical properties for cubic fluoroperovskite XMgF3 (X=Al, Ga, In, Tl) under high pressure*. Materials Science in Semiconductor Processing. 174. 108158–108158. 20 indexed citations
7.
Hou, Jie, et al.. (2024). Negative workplace gossip and employees' innovative behaviors: The role of psychological resilience. Social Behavior and Personality An International Journal. 52(8). 1–12.
8.
Luo, Albert C. J., et al.. (2024). Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration. Briefings in Bioinformatics. 25(3). 7 indexed citations
9.
Zhang, Lei, Sheng Wang, Jie Hou, et al.. (2023). ComplexQA: a deep graph learning approach for protein complex structure assessment. Briefings in Bioinformatics. 24(6). 6 indexed citations
10.
Zhao, Minglei, et al.. (2023). Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps. Briefings in Bioinformatics. 24(2). 14 indexed citations
11.
Guo, Zhiye, Tianqi Wu, Jian Liu, Jie Hou, & Jianlin Cheng. (2021). Improving deep learning-based protein distance prediction in CASP14. Bioinformatics. 37(19). 3190–3196. 8 indexed citations
12.
Si, Dong, et al.. (2021). Recent Progress of Machine Learning in Gene Therapy. Current Gene Therapy. 22(2). 132–143. 24 indexed citations
13.
Yang, Hua, Xiaowen Shi, Chen Chen, et al.. (2021). Predominantly inverse modulation of gene expression in genomically unbalanced disomic haploid maize. The Plant Cell. 33(4). 901–916. 21 indexed citations
14.
Hou, Jie, Li Zhang, Hao Wu, Pujun Gao, & Zhonggao Xu. (2021). Increased Tim-3+ monocytes/macrophages are associated with disease severity in patients with IgA nephropathy. International Immunopharmacology. 97. 107666–107666. 5 indexed citations
15.
Hou, Jie, et al.. (2020). Accelerated denaturation bubble-mediated strand exchange amplification for rapid and accurate detection of canine parvovirus. Analytical Methods. 12(45). 5514–5522. 6 indexed citations
16.
Chen, Chen, Jie Hou, John J. Tanner, & Jianlin Cheng. (2020). Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis. International Journal of Molecular Sciences. 21(8). 2873–2873. 177 indexed citations
17.
Jasmer, Kimberly J., et al.. (2020). Heme oxygenase promotes B‐Raf‐dependent melanosphere formation. Pigment Cell & Melanoma Research. 33(6). 850–868. 9 indexed citations
18.
Hou, Jie, Huimin Xu, Di Fan, et al.. (2020). MiR319a‐targeted PtoTCP20 regulates secondary growth via interactions with PtoWOX4 and PtoWND6 in Populus tomentosa. New Phytologist. 228(4). 1354–1368. 47 indexed citations
19.
Hou, Jie, Badri Adhikari, John J. Tanner, & Jianlin Cheng. (2019). SAXSDom: Modeling multidomain protein structures using small‐angle X‐ray scattering data. Proteins Structure Function and Bioinformatics. 88(6). 775–787. 8 indexed citations
20.
Adhikari, Badri, Jie Hou, & Jianlin Cheng. (2017). DNCON2: improved protein contact prediction using two-level deep convolutional neural networks. Bioinformatics. 34(9). 1466–1472. 124 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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