Ju Huang

587 total citations
32 papers, 451 citations indexed

About

Ju Huang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Inorganic Chemistry. According to data from OpenAlex, Ju Huang has authored 32 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 6 papers in Inorganic Chemistry. Recurrent topics in Ju Huang's work include Metal-Organic Frameworks: Synthesis and Applications (5 papers), Advanced machining processes and optimization (3 papers) and Machine Learning in Materials Science (3 papers). Ju Huang is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (5 papers), Advanced machining processes and optimization (3 papers) and Machine Learning in Materials Science (3 papers). Ju Huang collaborates with scholars based in China, Australia and Canada. Ju Huang's co-authors include Heng Liu, Yifeng Zheng, Jing Peng, Hao Wu, Yang Li, Yun Zhang, Shi Xue Dou, Mingwu Xiang, Mingwu Xiang and Longjiang Li and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Ju Huang

30 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Huang China 9 286 95 78 72 47 32 451
Hongjiang Chen China 12 124 0.4× 68 0.7× 50 0.6× 50 0.7× 12 0.3× 21 388
Ishu Kansal Portugal 11 110 0.4× 222 2.3× 15 0.2× 15 0.2× 28 0.6× 20 488
Svenja‐K. Otto Germany 12 493 1.7× 154 1.6× 289 3.7× 26 0.4× 16 0.3× 15 656
Franz Kamutzki Germany 11 100 0.3× 180 1.9× 36 0.5× 38 0.5× 7 0.1× 16 328
Xinwei Ding China 9 225 0.8× 161 1.7× 46 0.6× 18 0.3× 6 0.1× 15 430
You Gao China 10 320 1.1× 85 0.9× 160 2.1× 36 0.5× 18 0.4× 34 441
Hongshun Zhao China 14 599 2.1× 91 1.0× 228 2.9× 160 2.2× 13 0.3× 26 773
Changhao Wang China 9 271 0.9× 68 0.7× 48 0.6× 57 0.8× 11 0.2× 21 377
Yukun Sun China 16 406 1.4× 60 0.6× 279 3.6× 40 0.6× 15 0.3× 29 584
Pu Cheng China 12 378 1.3× 100 1.1× 105 1.3× 57 0.8× 5 0.1× 34 471

Countries citing papers authored by Ju Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Huang. A scholar is included among the top collaborators of Ju Huang 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 Ju Huang. Ju Huang 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.
Huang, Ju, et al.. (2025). MOF-ChemUnity: Literature-Informed Large Language Models for Metal–Organic Framework Research. Journal of the American Chemical Society. 147(47). 43474–43486. 1 indexed citations
2.
Huang, Ju, et al.. (2025). Robust Image Registration via Consistent Topology Sort and Vision Inspection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
3.
4.
Huang, Ju, et al.. (2025). MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling. npj Computational Materials. 12(1). 4–4. 2 indexed citations
5.
Huang, Ju, et al.. (2025). Green synthesis of Nano-ZnO/N-Doped porous carbon composites for High-Performance Non-Enzymatic electrochemical glucose sensing. Microchemical Journal. 212. 113272–113272. 4 indexed citations
6.
Huang, Yuewu, Ruiyuan Liu, Ju Huang, et al.. (2025). Boosting the performance of self-powered SnO2-based UV photodetectors via Bi doping modulation for UV imaging and optical communication. Nano Materials Science. 1 indexed citations
7.
Chheda, Saumil, Ju Huang, Haewon Kim, et al.. (2025). CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening. Matter. 8(6). 102140–102140. 23 indexed citations
8.
9.
Huang, Ju, et al.. (2023). Room-temperature stacking disorder in layered covalent-organic frameworks from machine-learning force fields. Materials Horizons. 10(8). 2883–2891. 12 indexed citations
10.
Huang, Yinbin, et al.. (2023). Evaluating the impacts of biochemical processes on nitrogen dynamics in a tide gate-controlled river flowing into the South China Sea. The Science of The Total Environment. 881. 163363–163363. 5 indexed citations
11.
Zhang, Xuejun, et al.. (2023). Texture feature dimensionality reduction-based mammography classification using Random Forest. Journal of Computational Methods in Sciences and Engineering. 23(3). 1537–1545. 2 indexed citations
12.
Huang, Ju, Matthias Golomb, Seán R. Kavanagh, et al.. (2022). Band gap opening from displacive instabilities in layered covalent-organic frameworks. Journal of Materials Chemistry A. 10(25). 13500–13507. 12 indexed citations
13.
Xiang, Mingwu, Yang Li, Yifeng Zheng, et al.. (2017). A freestanding and flexible nitrogen-doped carbon foam/sulfur cathode composited with reduced graphene oxide for high sulfur loading lithium–sulfur batteries. Journal of Materials Chemistry A. 5(34). 18020–18028. 81 indexed citations
14.
Xiang, Mingwu, Hao Wu, Heng Liu, et al.. (2017). A Flexible 3D Multifunctional MgO‐Decorated Carbon Foam@CNTs Hybrid as Self‐Supported Cathode for High‐Performance Lithium‐Sulfur Batteries. Advanced Functional Materials. 27(37). 200 indexed citations
15.
Liu, Yan, et al.. (2017). Hypervalent Iodine Mediated Chemoselective Iodination of Alkynes. The Journal of Organic Chemistry. 82(22). 11865–11871. 27 indexed citations
16.
Huang, Ju, Hang Guo, & Ming Cao. (2010). Design and Implementation of BMS Based on STC12C5A60S2. Advanced materials research. 152-153. 1208–1212. 1 indexed citations
17.
Huang, Ju, et al.. (2010). A Novel Method for Estimating State of Charge of Lithium Ion Battery Packs. Advanced materials research. 152-153. 428–435. 2 indexed citations
18.
Huang, Ju, Ming Cao, & Hang Guo. (2010). Design and Implementation of Electric Vehicle Power Lithium Battery Protection Board. Advanced materials research. 152-153. 192–196. 2 indexed citations
19.
Li, Yi, et al.. (2008). Central Malignant Salivary Gland Tumors of the Jaw: Retrospective Clinical Analysis of 22 Cases. Journal of Oral and Maxillofacial Surgery. 66(11). 2247–2253. 40 indexed citations
20.
Huang, Ju, et al.. (2007). Study on the method of parameterized meshing and its system realization. Journal of Materials Processing Technology. 187-188. 368–372. 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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