Jie Tao

3.3k total citations · 1 hit paper
96 papers, 2.1k citations indexed

About

Jie Tao is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Jie Tao has authored 96 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 57 papers in Information Systems and 39 papers in Hardware and Architecture. Recurrent topics in Jie Tao's work include Cloud Computing and Resource Management (47 papers), Distributed and Parallel Computing Systems (42 papers) and Parallel Computing and Optimization Techniques (39 papers). Jie Tao is often cited by papers focused on Cloud Computing and Resource Management (47 papers), Distributed and Parallel Computing Systems (42 papers) and Parallel Computing and Optimization Techniques (39 papers). Jie Tao collaborates with scholars based in Germany, United States and China. Jie Tao's co-authors include Lizhe Wang, M. Kunze, Gregor von Laszewski, Xing Fang, Achim Streit, Wolfgang Karl, Xi He, Cheng Fu, Andrew Younge and David Kramer and has published in prestigious journals such as Technological Forecasting and Social Change, Information Systems Research and Future Generation Computer Systems.

In The Last Decade

Jie Tao

90 papers receiving 1.9k 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.

Cloud Computing: a Perspective Study

2010 496 citations Lizhe Wang, M. Kunze et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Tao Germany	18	1.3k	1.2k	471	210	178	96	2.1k
Fábio Kon Brazil	25	1.0k 0.8×	1.1k 0.9×	418 0.9×	110 0.5×	211 1.2×	146	2.1k
Steve Vinoski United States	20	970 0.7×	1.2k 1.1×	600 1.3×	94 0.4×	265 1.5×	67	2.2k
Ian Gorton United States	27	1.5k 1.2×	1.1k 1.0×	1.1k 2.2×	178 0.8×	171 1.0×	184	2.5k
Cees de Laat Netherlands	25	1.6k 1.2×	1.8k 1.6×	484 1.0×	384 1.8×	150 0.8×	196	2.9k
Paolo Trunfio Italy	21	600 0.4×	953 0.8×	342 0.7×	231 1.1×	66 0.4×	89	1.6k
Luis Rodero‐Merino Spain	9	2.2k 1.7×	2.2k 1.9×	490 1.0×	220 1.0×	65 0.4×	13	3.1k
Aad van Moorsel United Kingdom	23	1.1k 0.8×	736 0.6×	409 0.9×	116 0.6×	47 0.3×	90	1.7k
David Eyers New Zealand	22	1.1k 0.8×	1.1k 0.9×	1.0k 2.2×	92 0.4×	131 0.7×	119	2.1k
Wilhelm Hasselbring Germany	29	1.9k 1.4×	1.8k 1.5×	1.0k 2.2×	284 1.4×	93 0.5×	265	3.2k
Jun Han Australia	27	1.6k 1.2×	903 0.8×	1.2k 2.5×	107 0.5×	57 0.3×	201	2.5k

Countries citing papers authored by Jie Tao

Since Specialization

Citations

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

Fields of papers citing papers by Jie Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Tao

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

20 of 20 papers shown

1.

Liu, Yufa, Yonghua Liu, Yonghua Liu, et al.. (2025). Adaptive neural network tracking control for unknown high-order nonlinear systems: A constructive approximation set based approach. Engineering Applications of Artificial Intelligence. 162. 112371–112371.

2.

Zhao, Yueyang, et al.. (2023). Toward an Explainable Artificial Intelligence Approach to Enhance Medical Imaging Classification Models. 234–240.

3.

Tao, Jie, et al.. (2022). Making sense of the black‐boxes: Toward interpretable text classification using deep learning models. Journal of the Association for Information Science and Technology. 74(6). 685–700. 8 indexed citations

4.

Zhou, Lina, Jie Tao, & Dongsong Zhang. (2022). Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19. Information Systems Frontiers. 25(2). 493–512. 14 indexed citations

5.

Tao, Jie & Xing Fang. (2020). Toward multi-label sentiment analysis: a transfer learning based approach. Journal Of Big Data. 7(1). 161 indexed citations

6.

Tao, Jie & Lina Zhou. (2020). Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning-Based Time-Series Analysis. IEEE Transactions on Engineering Management. 70(3). 834–848. 9 indexed citations

7.

Zhou, Lina, et al.. (2020). Dissecting Moneyball: Improving Classification Model Interpretability in Baseball Pitch Prediction. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations

8.

Fang, Xing & Jie Tao. (2019). A Transfer Learning based Approach for Aspect Based Sentiment Analysis. 478–483. 7 indexed citations

9.

Tao, Jie, et al.. (2015). Term Extraction and Disambiguation for Semantic Knowledge Enrichment: A Case Study on Initial Public Offering (IPO) Prospectus Corpus. DigitalCommons - Fairfield (Fairfield University). 3719–3728.

10.

Tao, Jie, Joanna Kołodziej, Rajiv Ranjan, Prem Prakash Jayaraman, & Rajkumar Buyya. (2015). A note on new trends in data-aware scheduling and resource provisioning in modern HPC systems. Future Generation Computer Systems. 51. 45–46. 10 indexed citations

11.

Tao, Jie, Amit V. Deokar, & Omar El-Gayar. (2014). An Ontology-Based Information Extraction (OBIE) Framework for Analyzing Initial Public Offering (IPO) Prospectus. DigitalCommons - Fairfield (Fairfield University). 769–778. 4 indexed citations

12.

Tao, Jie. (2013). A Study on Cloud Computing Service Auction with Compensation. Shuxue de shijian yu renshi. 1 indexed citations

13.

Tao, Jie, et al.. (2011). A Workflow Engine for Computing Clouds. 1–6. 3 indexed citations

14.

Wang, Lizhe, et al.. (2011). Energy-Aware High Performance Computing: A Taxonomy Study. 953–958. 18 indexed citations

15.

El-Gayar, Omar, Amit V. Deokar, & Jie Tao. (2011). DSS-CMM. International Journal of Decision Support System Technology. 3(4). 14–34. 1 indexed citations

16.

Wang, Lizhe, et al.. (2008). Scientific Cloud Computing: Early Definition and Experience. 825–830. 325 indexed citations

17.

Wang, Lizhe, et al.. (2008). Grid Virtualization Engine: Providing Virtual Resources for Grid Infrastructure. Contemporary Clinical Dentistry. 1(3). 27–36. 2 indexed citations

18.

Tao, Jie & Josef Weidendorfer. (2004). Cache simulation based on runtime instrumentation for OpenMP applications. Annual Simulation Symposium. 97–103. 2 indexed citations

19.

Tao, Jie, Martin Schulz, & Wolfgang Karl. (2004). Simulation as a tool for optimizing memory accesses on NUMA machines. Performance Evaluation. 60(1-4). 31–50.

20.

Tao, Jie, Martin Schulz, & Wolfgang Karl. (2003). A simulation tool for evaluating shared memory systems. Annual Simulation Symposium. 335–342. 7 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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