Lu Lu
- Information Systems top 2%
- Software top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Topics
- Software Engineering Research (23 papers)Software Reliability and Analysis Research (21 papers)Software System Performance and Reliability (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentScientific Reports
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lu Lu
84 papers receiving 985 citations
Peers
Comparison fields: 5 of 142
- Information Systems 369
- Software 288
- Computer Vision and Pattern Recognition 231
- Computer Networks and Communications 207
- Artificial Intelligence 172
Countries citing papers authored by Lu Lu
This map shows the geographic impact of Lu Lu'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 Lu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Lu more than expected).
Fields of papers citing papers by Lu Lu
This network shows the impact of papers produced by Lu Lu. 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 Lu Lu. The network helps show where Lu Lu may publish in the future.
Co-authorship network of co-authors of Lu Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Lu Lu. A scholar is included among the top collaborators of Lu Lu 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 Lu Lu. Lu Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 37 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | Deep Graph Attention Neural Network for Click-Through Rate Prediction. | 0 |
| 11 | 19 | |
| 12 | A Semantic Convolutional Auto-Encoder Model for Software Defect Prediction. | 1 |
| 13 | 49 | |
| 14 | 118 | |
| 15 | 28 | |
| 16 | 30 | |
| 17 | 0 | |
| 18 | Research on test data generation based on Modified Genetic and Simulated Annealing Algorithm | 3 |
| 19 | Session-based performance test case generation for Web applications | 2 |
| 20 | Sentence Simplification Based Ontology Mapping. | 1 |
About Lu Lu
Lu Lu is a scholar working on Software, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 1.0k indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (21 papers) and Software System Performance and Reliability (16 papers). The work is most often cited by research in Software (288 citations), Information Systems (369 citations) and Computer Vision and Pattern Recognition (231 citations). Lu Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Siyu Jiang, Zhen Tong, Xinxing Liu, Zhang Lin, Jinling Ma, Xiaojun Niu, Xingyao Ye, Dongqing Zhang, Yankun Li and Yuan Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.
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.