Long Ju

10.7k total citations · 7 hit papers
40 papers, 8.3k citations indexed

About

Long Ju is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Long Ju has authored 40 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 21 papers in Atomic and Molecular Physics, and Optics and 9 papers in Biomedical Engineering. Recurrent topics in Long Ju's work include Graphene research and applications (23 papers), Quantum and electron transport phenomena (15 papers) and Topological Materials and Phenomena (11 papers). Long Ju is often cited by papers focused on Graphene research and applications (23 papers), Quantum and electron transport phenomena (15 papers) and Topological Materials and Phenomena (11 papers). Long Ju collaborates with scholars based in United States, China and Japan. Long Ju's co-authors include Feng Wang, Baisong Geng, Erick Ulin-Avila, Xiaobo Yin, Xiang Zhang, Thomas Zentgraf, Ming Liu, Alex Zettl, Hans A. Bechtel and Michael C. Martin and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Long Ju

37 papers receiving 8.0k citations

Hit Papers

A graphene-based broadband optical modulator 2011 2026 2016 2021 2011 2011 2012 2015 2024 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Ju United States 23 4.3k 3.9k 3.5k 3.2k 2.4k 40 8.3k
Baisong Geng China 19 4.3k 1.0× 3.2k 0.8× 2.6k 0.7× 3.5k 1.1× 2.8k 1.1× 28 7.6k
Edward S. Barnard United States 30 4.9k 1.2× 2.8k 0.7× 2.2k 0.6× 3.4k 1.1× 3.2k 1.3× 73 8.0k
Jon A. Schuller United States 34 5.5k 1.3× 2.4k 0.6× 2.7k 0.8× 3.3k 1.0× 3.8k 1.6× 67 8.4k
Vinod M. Menon United States 40 2.1k 0.5× 2.3k 0.6× 3.2k 0.9× 2.5k 0.8× 1.4k 0.6× 151 6.0k
Pieter G. Kik United States 37 5.1k 1.2× 2.9k 0.7× 2.6k 0.7× 3.0k 0.9× 4.1k 1.7× 98 8.1k
Aleksandr Rodin Singapore 25 2.7k 0.6× 5.2k 1.3× 2.4k 0.7× 2.8k 0.9× 1.7k 0.7× 60 7.8k
Pablo Alonso‐González Spain 42 5.7k 1.3× 1.9k 0.5× 3.6k 1.0× 2.2k 0.7× 3.1k 1.3× 86 7.8k
Tobias Stauber Spain 35 5.0k 1.2× 9.0k 2.3× 5.0k 1.4× 3.7k 1.2× 2.4k 1.0× 94 12.5k
Alexey Y. Nikitin Spain 42 4.8k 1.1× 1.3k 0.3× 3.4k 1.0× 2.1k 0.7× 2.7k 1.1× 112 6.9k
Xuetao Gan China 42 2.5k 0.6× 2.5k 0.6× 3.3k 1.0× 4.3k 1.4× 1.2k 0.5× 212 6.7k

Countries citing papers authored by Long Ju

Since Specialization
Citations

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

Fields of papers citing papers by Long Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Long Ju. A scholar is included among the top collaborators of Long Ju 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 Long Ju. Long Ju 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.
Bernevig, B. Andrei, Li Fu, Long Ju, et al.. (2025). Fractional quantization in insulators from Hall to Chern. Nature Physics. 21(11). 1702–1713. 1 indexed citations
2.
Ju, Long, et al.. (2025). Topological chiral superconductivity beyond pairing in a Fermi liquid. Physical review. B.. 111(1). 8 indexed citations
3.
Fan, Kaiqi, et al.. (2025). Optimizing the formulation of soil reconstruction for ecological restoration in mining areas on the Qinghai-Tibetan plateau. Journal of Soils and Sediments. 25(12). 3712–3722.
4.
Lu, Zhengguang, Tonghang Han, Yuxuan Yao, et al.. (2025). Extended quantum anomalous Hall states in graphene/hBN moiré superlattices. Nature. 637(8048). 1090–1095. 23 indexed citations breakdown →
5.
Ju, Long, A. H. MacDonald, Kin Fai Mak, Jie Shan, & Xiaodong Xu. (2024). The fractional quantum anomalous Hall effect. Nature Reviews Materials. 9(7). 455–459. 12 indexed citations
6.
Lu, Zhengguang, Tonghang Han, Yuxuan Yao, et al.. (2024). Fractional quantum anomalous Hall effect in multilayer graphene. Nature. 626(8000). 759–764. 235 indexed citations breakdown →
7.
Zhou, Jian, Long Ju, Shiyin Zhao, & Yufeng Zhang. (2023). Exact Solutions of Nonlinear Partial Differential Equations Using the Extended Kudryashov Method and Some Properties. Symmetry. 15(12). 2122–2122. 5 indexed citations
8.
Wang, Jiangtao, Chi Cheng, Xudong Zheng, et al.. (2023). Cascaded compression of size distribution of nanopores in monolayer graphene. Nature. 623(7989). 956–963. 42 indexed citations
9.
Han, Tonghang, Zhengguang Lu, Giovanni Scuri, et al.. (2023). Orbital multiferroicity in pentalayer rhombohedral graphene. Nature. 623(7985). 41–47. 77 indexed citations
10.
Han, Tonghang, Zhengguang Lu, Giovanni Scuri, et al.. (2023). Correlated insulator and Chern insulators in pentalayer rhombohedral-stacked graphene. Nature Nanotechnology. 19(2). 181–187. 76 indexed citations
11.
Yang, Jixiang, Guorui Chen, Yahui Zhang, et al.. (2022). Spectroscopy signatures of electron correlations in a trilayer graphene/hBN moiré superlattice. Science. 375(6586). 1295–1299. 52 indexed citations
12.
Ju, Long, Lei Wang, Xiao Li, et al.. (2020). Unconventional valley-dependent optical selection rules and landau level mixing in bilayer graphene. Nature Communications. 11(1). 2941–2941. 16 indexed citations
13.
Jiang, Lili, Zhiwen Shi, Bo Zeng, et al.. (2016). Soliton-dependent plasmon reflection at bilayer graphene domain walls. Nature Materials. 15(8). 840–844. 128 indexed citations
14.
Wong, Dillon, Jairo Velasco, Long Ju, et al.. (2015). Characterization and manipulation of individual defects in insulating hexagonal boron nitride using scanning tunnelling microscopy. Nature Nanotechnology. 10(11). 949–953. 191 indexed citations
15.
Ju, Long, Zhiwen Shi, Nityan Nair, et al.. (2015). Topological valley transport at bilayer graphene domain walls. Nature. 520(7549). 650–655. 509 indexed citations breakdown →
16.
Bie, Ya‐Qing, Jason Horng, Zhiwen Shi, et al.. (2015). Vibrational spectroscopy at electrolyte/electrode interfaces with graphene gratings. Nature Communications. 6(1). 7593–7593. 18 indexed citations
17.
Yan, Zheng, Yuanyue Liu, Long Ju, et al.. (2014). Large Hexagonal Bi‐ and Trilayer Graphene Single Crystals with Varied Interlayer Rotations. Angewandte Chemie. 126(6). 1591–1595. 36 indexed citations
18.
Kahn, Salman, Jairo Velasco, Long Ju, et al.. (2014). Photo-induced Modulation Doping in Graphene/Boron nitride Heterostructures. Bulletin of the American Physical Society. 2014. 1 indexed citations
19.
Ju, Long, Jairo Velasco, Edwin W. Huang, et al.. (2014). Photoinduced doping in heterostructures of graphene and boron nitride. Nature Nanotechnology. 9(5). 348–352. 292 indexed citations
20.
Yan, Zheng, Yuanyue Liu, Long Ju, et al.. (2014). Large Hexagonal Bi‐ and Trilayer Graphene Single Crystals with Varied Interlayer Rotations. Angewandte Chemie International Edition. 53(6). 1565–1569. 87 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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