Xinglong Ji

1.7k total citations
56 papers, 1.5k citations indexed

About

Xinglong Ji is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xinglong Ji has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 30 papers in Materials Chemistry and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xinglong Ji's work include Phase-change materials and chalcogenides (25 papers), Advanced Memory and Neural Computing (23 papers) and Chalcogenide Semiconductor Thin Films (22 papers). Xinglong Ji is often cited by papers focused on Phase-change materials and chalcogenides (25 papers), Advanced Memory and Neural Computing (23 papers) and Chalcogenide Semiconductor Thin Films (22 papers). Xinglong Ji collaborates with scholars based in China, Singapore and United States. Xinglong Ji's co-authors include Zhitang Song, Rong Zhao, Liangcai Wu, Songlin Feng, Min Zhu, Feng Rao, Shuai Zhong, Kian Guan Lim, Sannian Song and Xilin Zhou and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xinglong Ji

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinglong Ji China	22	1.2k	866	367	258	254	56	1.5k
You Yin Japan	20	1.2k 1.0×	803 0.9×	295 0.8×	280 1.1×	252 1.0×	118	1.5k
Zhongwei Xu China	19	1.2k 1.0×	977 1.1×	242 0.7×	260 1.0×	400 1.6×	37	1.9k
Itamar Balla United States	15	1.3k 1.1×	1.2k 1.4×	186 0.5×	254 1.0×	201 0.8×	19	1.9k
I. V. Karpov United States	21	1.3k 1.0×	1.0k 1.2×	346 0.9×	150 0.6×	165 0.6×	42	1.5k
Yunjo Kim United States	7	1.1k 0.9×	911 1.1×	180 0.5×	311 1.2×	294 1.2×	9	1.7k
Anh Tuấn Hoàng South Korea	18	1.0k 0.8×	911 1.1×	194 0.5×	182 0.7×	519 2.0×	37	1.7k
Wenbo Luo China	18	897 0.7×	472 0.5×	262 0.7×	250 1.0×	206 0.8×	97	1.2k
Hongguang Shen China	17	974 0.8×	629 0.7×	571 1.6×	203 0.8×	353 1.4×	24	1.4k
Robin Jacobs-Gedrim United States	15	1.4k 1.2×	1.1k 1.2×	216 0.6×	270 1.0×	179 0.7×	36	1.9k
Yi Tong China	22	1.3k 1.1×	690 0.8×	157 0.4×	259 1.0×	180 0.7×	124	1.6k

Countries citing papers authored by Xinglong Ji

Since Specialization

Citations

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

Fields of papers citing papers by Xinglong Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinglong Ji

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

All Works

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20 of 20 papers shown

Zhao, Rong, et al.. (2025). RoboSpike: Fully Utilizing the Heterogeneous System with Subcallback Scheduling in ROS 2. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 1–1.

Wang, Shasha, et al.. (2025). GmMADS66 regulates flowering time under photoperiod dependent pathway in Arabidopsis. Plant Cell Tissue and Organ Culture (PCTOC). 160(1). 1 indexed citations

Ji, Xinglong, et al.. (2025). High-Temperature Tribological Behavior of Polyimide Composites with Dual-Phase MoS2/MXene Lubricants: A Synergistic Effect Analysis. Journal of Composites Science. 9(7). 373–373. 1 indexed citations

Zhang, Weihao, et al.. (2024). The development of general-purpose brain-inspired computing. Nature Electronics. 7(11). 954–965. 10 indexed citations

Qu, Peng, Xinglong Ji, Jiajie Chen, et al.. (2024). Research on General-Purpose Brain-Inspired Computing Systems. Journal of Computer Science and Technology. 39(1). 4–21. 1 indexed citations

Yu, Mingxin, et al.. (2024). Multiple-local feature and attention fused person re-identification method. Intelligent Data Analysis. 28(6). 1679–1695. 1 indexed citations

Yu, Mingxin, et al.. (2024). An Intelligent System for Outfall Detection in UAV Images Using Lightweight Convolutional Vision Transformer Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6265–6277. 3 indexed citations

Yu, Xiao‐Qi, et al.. (2024). Preparation of 3D Cellulose-Carbon Quantum Dots Hydrogels for Adsorption of Mercury from Aqueous Solution. Journal of Polymers and the Environment. 32(8). 3516–3529. 6 indexed citations

Ji, Xinglong, et al.. (2023). SongC: A Compiler for Hybrid Near-Memory and In-Memory Many-Core Architecture. IEEE Transactions on Computers. 73(10). 2420–2433. 4 indexed citations

10.

Ji, Xinglong, et al.. (2023). Fully Onboard Single Pedestrian Tracking on Nano-UAV Platform. Journal of Intelligent & Robotic Systems. 109(3). 1 indexed citations

11.

Yan, Zhiyuan, Zheng Zhang, Weikang Wu, et al.. (2021). Floating solid-state thin films with dynamic structural colour. Nature Nanotechnology. 16(7). 795–801. 57 indexed citations

12.

Zhang, Wenli, Yaoyuan Wang, Xinglong Ji, Yujie Wu, & Rong Zhao. (2021). ROA: A Rapid Learning Scheme for In-Situ Memristor Networks. Frontiers in Artificial Intelligence. 4. 692065–692065. 5 indexed citations

13.

Zhan, Yi, et al.. (2021). Efficient Design of Spiking Neural Network With STDP Learning Based on Fast CORDIC. IEEE Transactions on Circuits and Systems I Regular Papers. 68(6). 2522–2534. 42 indexed citations

14.

Song, Hao, Xinglong Ji, Shuai Zhong, et al.. (2020). A Monolayer Leaky Integrate‐and‐Fire Neuron for 2D Memristive Neuromorphic Networks. Advanced Electronic Materials. 6(4). 70 indexed citations

15.

Guo, Tianqi, Sannian Song, Zhitang Song, et al.. (2018). SiC‐Doped Ge₂Sb₂Te₅ Phase‐Change Material: A Candidate for High‐Density Embedded Memory Application. Advanced Electronic Materials. 4(8). 30 indexed citations

16.

Ji, Xinglong, Chao Wang, Li Song, & Rong Zhao. (2018). Super Nonlinear Mixed Ionic Electronic Conducting Thinfilm Selector for Crosspoint Array. 1–2. 1 indexed citations

17.

Guo, Shuang, et al.. (2015). Intrinsic evolutions of dielectric function and electronic transition in tungsten doping Ge2Sb2Te5 phase change films discovered by ellipsometry at elevated temperatures. Applied Physics Letters. 106(5). 20 indexed citations

18.

Ji, Xinglong, Liangcai Wu, Min Zhu, et al.. (2015). High thermal stability Sb3Te-TiN2 material for phase change memory application. Applied Physics Letters. 106(2). 17 indexed citations

19.

Zhu, Min, Mengjiao Xia, Feng Rao, et al.. (2014). One order of magnitude faster phase change at reduced power in Ti-Sb-Te. Nature Communications. 5(1). 4086–4086. 200 indexed citations

20.

Zhu, Min, Liangcai Wu, Feng Rao, et al.. (2014). The micro-structure and composition evolution of Ti-Sb-Te alloy during reversible phase transition in phase change memory. Applied Physics Letters. 104(6). 15 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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