Xiaoting He

984 total citations · 1 hit paper
10 papers, 636 citations indexed

About

Xiaoting He is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Xiaoting He has authored 10 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 4 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Xiaoting He's work include Software System Performance and Reliability (5 papers), Network Security and Intrusion Detection (4 papers) and Software Engineering Research (3 papers). Xiaoting He is often cited by papers focused on Software System Performance and Reliability (5 papers), Network Security and Intrusion Detection (4 papers) and Software Engineering Research (3 papers). Xiaoting He collaborates with scholars based in China, Australia and United States. Xiaoting He's co-authors include Junjie Chen, Hongyu Zhang, Dongmei Zhang, Qingwei Lin, Yingnong Dang, Yong Xu, Randolph Yao, Chunyu Xie, Furao Shen and Murali Chintalapati and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Sensors and Signal Processing.

In The Last Decade

Xiaoting He

10 papers receiving 630 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.

Robust log-based anomaly detection on unstable log data

2019 401 citations Xu Zhang, Yong Xu et al. profile →

Peers

Xiaoting He

CNC

AI

IS

SOFTW

SP

V. Lakshmi Narasimhan Australia

M. Lilly Florence India

Francisco Hernández-Rodríguez Sweden

Akash Lal India

Mi-Jung Choi South Korea

Qing Huang China

P. Ravi Kiran Varma India

Yuchen Guo China

Muhammad Ejaz Ahmed Australia

Zhaoyang Yu China

V. Lakshmi Narasimhan Australia

Xiaoting He

112 ×0.2

CNC

72 ×0.2

AI

150 ×0.8

IS

131 ×1.0

SOFTW

17 ×0.5

SP

Citations per year, relative to Xiaoting He Xiaoting He (= 1×) peers V. Lakshmi Narasimhan

Countries citing papers authored by Xiaoting He

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoting He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoting He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoting He. A scholar is included among the top collaborators of Xiaoting He 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 Xiaoting He. Xiaoting He 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:

10 of 10 papers shown

1.

He, Xiaoting & Liangliang Shi. (2024). A Study of the Assistive Nature of Artificial Intelligence Technology for Japanese Translation and Interpretation. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

2.

Chen, Yujun, Xian Yang, Xiaoting He, et al.. (2020). Identifying linked incidents in large-scale online service systems. 304–314. 25 indexed citations

3.

Chen, Junjie, Shu Zhang, Xiaoting He, et al.. (2020). How incidental are the incidents?. 373–384. 25 indexed citations

4.

Luo, Junhai, Ying Han, & Xiaoting He. (2019). Optimal bit allocation for maneuvering target tracking in UWSNs with additive and multiplicative noise. Signal Processing. 164. 125–135. 9 indexed citations

5.

Luo, Junhai, Xiaoting He, Man Wu, Yanping Chen, & Yang Yang. (2019). An Optimal Bit Allocation Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks. 1–8. 2 indexed citations

6.

Chen, Junjie, Xiaoting He, Qingwei Lin, et al.. (2019). An Empirical Investigation of Incident Triage for Online Service Systems. 111–120. 60 indexed citations

7.

Chen, Junjie, Xiaoting He, Qingwei Lin, et al.. (2019). Continuous Incident Triage for Large-Scale Online Service Systems. 364–375. 58 indexed citations

8.

Zhang, Xu, Yong Xu, Qingwei Lin, et al.. (2019). Robust log-based anomaly detection on unstable log data. 807–817. 401 indexed citations breakdown →

9.

Xiang, Shunyu, Xing Lv, Linhai He, et al.. (2019). Dual-Action Pesticide Carrier That Continuously Induces Plant Resistance, Enhances Plant Anti-Tobacco Mosaic Virus Activity, and Promotes Plant Growth. Journal of Agricultural and Food Chemistry. 67(36). 10000–10009. 49 indexed citations

10.

Luo, Junhai & Xiaoting He. (2018). A Soft–Hard Combination Decision Fusion Scheme for a Clustered Distributed Detection System with Multiple Sensors. Sensors. 18(12). 4370–4370. 6 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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