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.
Gated Self-Matching Networks for Reading Comprehension and Question Answering
This map shows the geographic impact of Baobao Chang'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 Baobao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baobao Chang more than expected).
This network shows the impact of papers produced by Baobao Chang. 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 Baobao Chang. The network helps show where Baobao Chang may publish in the future.
Co-authorship network of co-authors of Baobao Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Baobao Chang.
A scholar is included among the top collaborators of Baobao Chang 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 Baobao Chang. Baobao Chang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sha, Lei, Baobao Chang, Zhifang Sui, & Sujian Li. (2016). Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. International Conference on Computational Linguistics. 2870–2879.36 indexed citations
14.
Ge, Tao, Lei Cui, Baobao Chang, Zhifang Sui, & Ming Zhou. (2016). Event Detection with Burst Information Networks. International Conference on Computational Linguistics. 3276–3286.12 indexed citations
15.
Jiang, Tingsong, Tianyu Liu, Tao Ge, et al.. (2016). Towards Time-Aware Knowledge Graph Completion. International Conference on Computational Linguistics. 1715–1724.47 indexed citations
16.
Chang, Baobao & Dongxu Han. (2010). Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping. Empirical Methods in Natural Language Processing. 789–798.7 indexed citations
17.
Chang, Baobao. (2010). Maximum Margin Markov Networks-Based Chinese Word Segmentation Method. Zhongwen xinxi xuebao.1 indexed citations
18.
Chang, Baobao. (2009). Chinese Semantic Role Labeling Based on Semantic Chunking. Zhongwen xinxi xuebao.1 indexed citations
19.
Chang, Baobao. (2008). Maximum Entropy-Based Semantic Role Classification. Zhongwen xinxi xuebao.
20.
Chang, Baobao. (2007). Chinese Multi-word Chunks Extraction for Computer Aided Translation. Zhongwen xinxi xuebao.2 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.