Lingshuang Shao

636 total citations · 1 hit paper
11 papers, 475 citations indexed

About

Lingshuang Shao is a scholar working on Information Systems, Computer Networks and Communications and Pharmacology. According to data from OpenAlex, Lingshuang Shao has authored 11 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Computer Networks and Communications and 1 paper in Pharmacology. Recurrent topics in Lingshuang Shao's work include Service-Oriented Architecture and Web Services (7 papers), Software System Performance and Reliability (4 papers) and Caching and Content Delivery (3 papers). Lingshuang Shao is often cited by papers focused on Service-Oriented Architecture and Web Services (7 papers), Software System Performance and Reliability (4 papers) and Caching and Content Delivery (3 papers). Lingshuang Shao collaborates with scholars based in China and United States. Lingshuang Shao's co-authors include Junfeng Zhao, Bing Xie, Hong Mei, Jing Zhang, Yanzhen Zou, Lijie Wang, Li Zhou, Fang Lü, Mei Hong and Xiang Liu and has published in prestigious journals such as Journal of Hazardous Materials, Environmental Science and Pollution Research and Chinese Journal of Computers.

In The Last Decade

Lingshuang Shao

11 papers receiving 459 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.

Personalized QoS Prediction forWeb Services via Collaborative Filtering

2007 361 citations Lingshuang Shao, Jing Zhang et al. profile →

Peers

Lingshuang Shao

IS

CNC

AI

CVPR

TRANS

Christoph Hochreiner Austria

Prasang Upadhyaya United States

Jinyu Zhang China

Cristian Bucur Romania

Roman Matzutt Germany

Ryan Henry Canada

Pinar Senkul Türkiye

Robert B. Doorenbos United States

Minqi Zhou China

Christoph Hochreiner Austria

Lingshuang Shao

296 ×0.7

IS

267 ×0.8

CNC

73 ×0.8

AI

30 ×0.6

CVPR

4 ×0.2

TRANS

Citations per year, relative to Lingshuang Shao Lingshuang Shao (= 1×) peers Christoph Hochreiner

Countries citing papers authored by Lingshuang Shao

Since Specialization

Citations

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

Fields of papers citing papers by Lingshuang Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingshuang Shao

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

All Works

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11 of 11 papers shown

1.

Liu, Xiang, et al.. (2023). Synergistic degradation of Azure B and sulfanilamide antibiotics by the white-rot fungus Trametes versicolor with an activated ligninolytic enzyme system. Journal of Hazardous Materials. 458. 131939–131939. 21 indexed citations

2.

Shao, Lingshuang, et al.. (2023). Digital finance and regional green innovation: the perspective of environmental regulation. Environmental Science and Pollution Research. 30(36). 85592–85610. 14 indexed citations

3.

Lü, Fang, et al.. (2012). Towards Automatic Tagging for Web Services. 528–535. 24 indexed citations

4.

Zou, Yanzhen, et al.. (2010). Framework Supporting Software Assets Evaluation on Trustworthiness. Journal of Software. 21(2). 359–372. 10 indexed citations

5.

Zhao, Junfeng, et al.. (2010). A Flexible Multi-Source Web Service's QoS Acquisition Framework and Implementation. 416–421. 1 indexed citations

6.

Shao, Lingshuang, Junfeng Zhao, Tao Xie, et al.. (2009). User-Perceived Service Availability: A Metric and an Estimation Approach. 12. 647–654. 5 indexed citations

7.

Shao, Lingshuang, Li Zhou, Junfeng Zhao, Bing Xie, & Mei Hong. (2009). Web Service QoS Prediction Approach. Journal of Software. 20(8). 2062–2073. 20 indexed citations

8.

Shao, Lingshuang, et al.. (2009). An Extensible Management Framework for Web Service QoS. Chinese Journal of Computers. 31(8). 1458–1470. 12 indexed citations

9.

Shao, Lingshuang, Lu Zhang, Junfeng Zhao, Bing Xie, & Hong Mei. (2008). Towards a User-perceived Service Availability Metric. 549–550. 2 indexed citations

10.

Shao, Lingshuang, Lu Zhang, Tao Xie, et al.. (2008). Dynamic Availability Estimation for Service Selection Based on Status Identification. 12. 645–652. 5 indexed citations

11.

Shao, Lingshuang, et al.. (2007). Personalized QoS Prediction forWeb Services via Collaborative Filtering. 439–446. 361 indexed citations breakdown →

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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