Xukan Ran

2.1k total citations · 2 hit papers
9 papers, 1.5k citations indexed

About

Xukan Ran is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Xukan Ran has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 5 papers in Aerospace Engineering. Recurrent topics in Xukan Ran's work include Augmented Reality Applications (6 papers), IoT and Edge/Fog Computing (5 papers) and Robotics and Sensor-Based Localization (4 papers). Xukan Ran is often cited by papers focused on Augmented Reality Applications (6 papers), IoT and Edge/Fog Computing (5 papers) and Robotics and Sensor-Based Localization (4 papers). Xukan Ran collaborates with scholars based in United States. Xukan Ran's co-authors include Jiasi Chen, Zhenming Liu, Xiaodan Zhu, Amit K. Roy–Chowdhury, Srikanth V. Krishnamurthy, Maria Gorlatova, K. K. Ramakrishnan and Yunshu Wang and has published in prestigious journals such as Proceedings of the IEEE and IEEE Communications Magazine.

In The Last Decade

Xukan Ran

9 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning With Edge Computing: A Review

2019 920 citations Jiasi Chen, Xukan Ran Proceedings of the IEEE profile →
DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics

2018 309 citations Xukan Ran, Xiaodan Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xukan Ran United States	7	671	643	383	333	143	9	1.5k
Hongbin Sun China	24	663 1.0×	584 0.9×	366 1.0×	549 1.6×	186 1.3×	128	1.9k
Jiasi Chen United States	16	920 1.4×	866 1.3×	411 1.1×	530 1.6×	158 1.1×	51	2.0k
Ke Luo China	8	380 0.6×	817 1.3×	516 1.3×	456 1.4×	242 1.7×	22	1.5k
Hesham Alhumyani Saudi Arabia	20	339 0.5×	287 0.4×	292 0.8×	265 0.8×	156 1.1×	64	1.2k
Liangkai Liu United States	13	408 0.6×	563 0.9×	246 0.6×	466 1.4×	225 1.6×	29	1.3k
Guisong Liu China	19	234 0.3×	737 1.1×	334 0.9×	508 1.5×	194 1.4×	113	1.5k
Shouxi Luo China	18	248 0.4×	858 1.3×	431 1.1×	295 0.9×	341 2.4×	77	1.6k
Theocharis Theocharides Cyprus	24	881 1.3×	905 1.4×	349 0.9×	934 2.8×	85 0.6×	128	2.3k
Zhiwen Xiao China	17	529 0.8×	381 0.6×	613 1.6×	218 0.7×	122 0.9×	36	1.6k
Huajie Shao United States	18	325 0.5×	315 0.5×	436 1.1×	367 1.1×	119 0.8×	53	1.1k

Countries citing papers authored by Xukan Ran

Since Specialization

Citations

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

Fields of papers citing papers by Xukan Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xukan Ran

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chen, Jiasi, et al.. (2023). Networked Architectures for Localization-Based Multi-User Augmented Reality. IEEE Communications Magazine. 61(12). 104–110. 4 indexed citations

2.

Ran, Xukan, et al.. (2022). SLAM-share. 293–306. 16 indexed citations

3.

Ran, Xukan, et al.. (2021). RealityCheck: A Tool to Evaluate Spatial Inconsistency in Augmented Reality. 58–65. 6 indexed citations

4.

Ran, Xukan, et al.. (2020). Multi-user augmented reality with communication efficient and spatially consistent virtual objects. 386–398. 28 indexed citations

5.

Chen, Jiasi & Xukan Ran. (2019). Deep Learning With Edge Computing: A Review. Proceedings of the IEEE. 107(8). 1655–1674. 920 indexed citations breakdown →

6.

Ran, Xukan, et al.. (2019). Frugal following. 96–109. 74 indexed citations

7.

Ran, Xukan, et al.. (2019). ShareAR. 109–116. 35 indexed citations

8.

Ran, Xukan, et al.. (2018). DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics. 1421–1429. 309 indexed citations breakdown →

9.

Ran, Xukan, et al.. (2017). Delivering Deep Learning to Mobile Devices via Offloading. 42–47. 60 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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