Lanbo She

486 total citations
13 papers, 280 citations indexed

About

Lanbo She is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lanbo She has authored 13 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lanbo She's work include Speech and dialogue systems (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Lanbo She is often cited by papers focused on Speech and dialogue systems (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Lanbo She collaborates with scholars based in United States, China and Hong Kong. Lanbo She's co-authors include Joyce Chai, Rui Fang, Changsong Liu, Yunyi Jia, Ning Xi, Yu Cheng, Yu Cheng, Kenneth Hanson, J. Bao and Yuning Jiang and has published in prestigious journals such as AI Magazine, The HKU Scholars Hub (University of Hong Kong) and Annual Meeting of the Special Interest Group on Discourse and Dialogue.

In The Last Decade

Lanbo She

13 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanbo She United States 10 217 97 93 49 14 13 280
Dipendra Misra United States 7 250 1.2× 174 1.8× 86 0.9× 20 0.4× 5 0.4× 11 320
Marc Downie United States 6 174 0.8× 126 1.3× 180 1.9× 93 1.9× 10 0.7× 13 310
Miroslav Janíček Germany 7 117 0.5× 63 0.6× 33 0.4× 28 0.6× 4 0.3× 12 186
Rony Kubat United States 7 62 0.3× 76 0.8× 27 0.3× 39 0.8× 6 0.4× 8 178
Daniel Nyga Germany 7 161 0.7× 107 1.1× 106 1.1× 16 0.3× 6 0.4× 13 247
Gerard Canal United Kingdom 8 79 0.4× 58 0.6× 71 0.8× 60 1.2× 28 199
Hao Shao China 9 83 0.4× 122 1.3× 11 0.1× 30 0.6× 24 236
Rama Bindiganavale United States 5 90 0.4× 95 1.0× 128 1.4× 42 0.9× 1 0.1× 5 210
Stephen Hart United States 8 109 0.5× 56 0.6× 135 1.5× 31 0.6× 3 0.2× 14 205
Patrick MacAlpine United States 8 88 0.4× 52 0.5× 41 0.4× 11 0.2× 17 176

Countries citing papers authored by Lanbo She

Since Specialization
Citations

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

Fields of papers citing papers by Lanbo She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanbo She

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

All Works

13 of 13 papers shown
1.
She, Lanbo & Joyce Chai. (2017). Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication. 1634–1644. 26 indexed citations
2.
Chai, Joyce, Rui Fang, Changsong Liu, & Lanbo She. (2016). Collaborative Language Grounding Toward Situated Human‐Robot Dialogue. AI Magazine. 37(4). 32–45. 24 indexed citations
3.
She, Lanbo & Joyce Chai. (2016). Incremental Acquisition of Verb Hypothesis Space towards Physical World Interaction. 108–117. 12 indexed citations
4.
Jia, Yunyi, Lanbo She, Yu Cheng, et al.. (2016). Program robots manufacturing tasks by natural language instructions. 633–638. 11 indexed citations
5.
She, Lanbo, et al.. (2014). Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue. 89–97. 57 indexed citations
6.
Jia, Yunyi, Ning Xi, Joyce Chai, et al.. (2014). Perceptive feedback for natural language control of robotic operations. The HKU Scholars Hub (University of Hong Kong). 8 indexed citations
7.
Chai, Joyce, et al.. (2014). Collaborative effort towards common ground in situated human-robot dialogue. 33–40. 47 indexed citations
8.
Liu, Changsong, Lanbo She, Rui Fang, & Joyce Chai. (2014). Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse. 13–18. 13 indexed citations
9.
She, Lanbo, et al.. (2014). Teaching Robots New Actions through Natural Language Instructions. 868–873. 33 indexed citations
10.
Cheng, Yu, Yunyi Jia, Rui Fang, et al.. (2014). Modelling and Analysis of Natural Language Controlled Robotic Systems. IFAC Proceedings Volumes. 47(3). 11767–11772. 7 indexed citations
11.
Fang, Rui, Changsong Liu, Lanbo She, & Joyce Chai. (2013). Towards Situated Dialogue: Revisiting Referring Expression Generation. 392–402. 17 indexed citations
12.
Liu, Changsong, Rui Fang, Lanbo She, & Joyce Chai. (2013). Modeling Collaborative Referring for Situated Referential Grounding. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 78–86. 20 indexed citations
13.
Zhuang, Liansheng, Lanbo She, Yuning Jiang, Ketan Tang, & Nenghai Yu. (2009). Image Classification via Semi-supervised pLSA. 205–208. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026