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.
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
This map shows the geographic impact of Shaoping Ma'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 Shaoping Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Ma more than expected).
This network shows the impact of papers produced by Shaoping Ma. 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 Shaoping Ma. The network helps show where Shaoping Ma may publish in the future.
Co-authorship network of co-authors of Shaoping Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoping Ma.
A scholar is included among the top collaborators of Shaoping Ma 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 Shaoping Ma. Shaoping Ma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shao, Yunqiu, Haitao Li, Yiqun Liu, et al.. (2023). An Intent Taxonomy of Legal Case Retrieval. ACM Transactions on Information Systems. 42(2). 1–27.4 indexed citations
Zhang, Min, et al.. (2016). Rating-boosted latent topics: understanding users and items with ratings and reviews. International Joint Conference on Artificial Intelligence. 2640–2646.95 indexed citations
13.
Liu, Yuli, Yiqun Liu, Min Zhang, & Shaoping Ma. (2016). Pay me and i'll follow you: detection of crowdturfing following activities in microblog environment. International Joint Conference on Artificial Intelligence. 3789–3790.12 indexed citations
14.
Luo, Cheng, Xin Li, Fei Chen, et al.. (2014). THUSAM at NTCIR-11 IMine Task. NTCIR.1 indexed citations
15.
Zhang, Min, et al.. (2008). Discussion Search in Enterprise Email Archives. Zhongwen xinxi xuebao. 22(2). 81–86.1 indexed citations
16.
Zhu, Tong, Min Zhang, Yiqun Liu, & Shaoping Ma. (2008). THUIR at TREC 2008: Blog Track.. Text REtrieval Conference.1 indexed citations
17.
Ma, Shaoping. (2006). Web Data Cleansing for Effective Information Retrieval. Zhongwen xinxi xuebao.1 indexed citations
18.
Ma, Shaoping. (2005). Segmentation of Touching Chinese Character Based on Convex Hull Ratio Feature. Zhongwen xinxi xuebao.3 indexed citations
19.
Zhang, Min, et al.. (2004). Improved Feature Selection and Redundance Computing - THUIR at TREC 2004 Novelty Track.. Text REtrieval Conference.10 indexed citations
20.
Ma, Liang, et al.. (2002). Incremental Learning for Profile Training in Adaptive Document Filtering.. Text REtrieval Conference.5 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.