Endah Kristiani

1.0k total citations
38 papers, 635 citations indexed

About

Endah Kristiani is a scholar working on Computer Networks and Communications, Environmental Engineering and Information Systems. According to data from OpenAlex, Endah Kristiani has authored 38 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Environmental Engineering and 8 papers in Information Systems. Recurrent topics in Endah Kristiani's work include Air Quality Monitoring and Forecasting (11 papers), IoT and Edge/Fog Computing (7 papers) and Network Security and Intrusion Detection (5 papers). Endah Kristiani is often cited by papers focused on Air Quality Monitoring and Forecasting (11 papers), IoT and Edge/Fog Computing (7 papers) and Network Security and Intrusion Detection (5 papers). Endah Kristiani collaborates with scholars based in Taiwan, Indonesia and Vietnam. Endah Kristiani's co-authors include Chao‐Tung Yang, Chin‐Yin Huang, Kieu Lan Phuong Nguyen, Jo‐Shu Chang, Shuo-Tsung Chen, Yunting Wang, Walter Den, Yoong Kit Leong, Yu‐Tse Tsan and Jung‐Chun Liu and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and IEEE Access.

In The Last Decade

Endah Kristiani

36 papers receiving 615 citations

Peers

Endah Kristiani
Steven J. Johnston United Kingdom
Muhammad Nabeel Asghar Pakistan
K. Somasundaram India
Jian Yu China
HwaMin Lee� South Korea
Guoyan Huang China
Zeba Idrees China
Samira Douzi Morocco
Badr Hssina Morocco
Subrata Nandi India
Steven J. Johnston United Kingdom
Endah Kristiani
Citations per year, relative to Endah Kristiani Endah Kristiani (= 1×) peers Steven J. Johnston

Countries citing papers authored by Endah Kristiani

Since Specialization
Citations

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

Fields of papers citing papers by Endah Kristiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Endah Kristiani

This figure shows the co-authorship network connecting the top 25 collaborators of Endah Kristiani. A scholar is included among the top collaborators of Endah Kristiani 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 Endah Kristiani. Endah Kristiani 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
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2.
Kristiani, Endah, et al.. (2025). HPPH: Computer-Vision-Based Service for High-Performance Pavement Health Recognition. IEEE Internet of Things Journal. 12(11). 15987–15996. 1 indexed citations
3.
4.
Kristiani, Endah, et al.. (2024). An Intelligent Thermal Compensation System Using Edge Computing for Machine Tools. Sensors. 24(8). 2531–2531. 5 indexed citations
5.
Liu, Jung‐Chun, et al.. (2024). Flame and smoke detection using Kafka on edge devices. Internet of Things. 27. 101309–101309. 3 indexed citations
6.
Yang, Chao‐Tung, Endah Kristiani, Yoong Kit Leong, & Jo‐Shu Chang. (2024). Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects. Bioresource Technology. 413. 131549–131549. 15 indexed citations
7.
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Huang, Chin‐Yin, et al.. (2023). Review of an intelligent indoor environment monitoring and management system for COVID-19 risk mitigation. Frontiers in Public Health. 10. 1022055–1022055. 8 indexed citations
9.
Liu, Jung‐Chun, et al.. (2023). An event-based data processing system using Kafka container cluster on Kubernetes environment. Neural Computing and Applications. 37(13). 8095–8112. 3 indexed citations
10.
Kristiani, Endah, et al.. (2023). A smart edge computing infrastructure for air quality monitoring using LPWAN and MQTT technologies. The Journal of Supercomputing. 80(7). 9961–9985. 3 indexed citations
11.
Yang, Chao‐Tung, Endah Kristiani, Yoong Kit Leong, & Jo‐Shu Chang. (2023). Big data and machine learning driven bioprocessing – Recent trends and critical analysis. Bioresource Technology. 372. 128625–128625. 33 indexed citations
12.
Tsan, Yu‐Tse, Endah Kristiani, Po‐Yu Liu, Wei‐Min Chu, & Chao‐Tung Yang. (2022). In the Seeking of Association between Air Pollutant and COVID-19 Confirmed Cases Using Deep Learning. International Journal of Environmental Research and Public Health. 19(11). 6373–6373. 4 indexed citations
13.
Chu, Wei‐Min, Endah Kristiani, Yu-Chieh Wang, et al.. (2022). A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment. Frontiers in Medicine. 9. 937216–937216. 19 indexed citations
14.
Yang, Chao‐Tung, et al.. (2021). Current advances and future challenges of AIoT applications in particulate matters (PM) monitoring and control. Journal of Hazardous Materials. 419. 126442–126442. 45 indexed citations
15.
Yang, Chao‐Tung, et al.. (2020). NetFlow Monitoring and Cyberattack Detection Using Deep Learning With Ceph. IEEE Access. 8. 7842–7850. 19 indexed citations
16.
Kristiani, Endah, Chao‐Tung Yang, & Chin‐Yin Huang. (2020). iSEC: An Optimized Deep Learning Model for Image Classification on Edge Computing. IEEE Access. 8. 27267–27276. 40 indexed citations
17.
Kristiani, Endah, et al.. (2020). Using deep ensemble for influenza-like illness consultation rate prediction. Future Generation Computer Systems. 117. 369–386. 9 indexed citations
18.
Yang, Chao‐Tung, et al.. (2019). On construction of a network log management system using ELK Stack with Ceph. The Journal of Supercomputing. 76(8). 6344–6360. 10 indexed citations
19.
Yang, Chao‐Tung, et al.. (2018). On construction of a virtual GPU cluster with InfiniBand and 10 Gb Ethernet virtualization. The Journal of Supercomputing. 74(12). 6876–6897. 2 indexed citations
20.
Yang, Chao‐Tung, Shuo-Tsung Chen, Walter Den, Yunting Wang, & Endah Kristiani. (2018). Implementation of an Intelligent Indoor Environmental Monitoring and management system in cloud. Future Generation Computer Systems. 96. 731–749. 90 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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