Baobao Chang publications per year

The chart shows the history of publications by Baobao Chang between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Baobao Chang published across 24 years, from 2002 to 2025, averaging 10.5 papers a year. Output peaked at 29 publications in 2016. 45 of the 253 publications appeared in the last two years.

No. of publications

5 10 15 20 25

2002 2025

253 publications in total across all disciplines

View publications per year as a table

Baobao Chang: publications per year, 2002 to 2025
Year	Publications
2002	2
2003	3
2004	2
2005	3
2006	0
2007	2
2008	3
2009	4
2010	5
2011	1
2012	1
2013	6
2014	4
2015	13
2016	29
2017	14
2018	11
2019	11
2020	16
2021	29
2022	24
2023	25
2024	28
2025	17
Total	253

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Baobao Chang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Baobao Chang sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 230 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table

Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications	Scientists	This scientist
32–41	7
42–51	22
52–61	82
62–71	134
72–81	249
82–91	324
92–101	421
102–111	420
112–121	497
122–131	544
132–141	555
142–151	609
152–161	559
162–171	534
172–181	556
182–191	583
192–201	519
202–211	508
212–221	490
222–231	437	230
232–241	423
242–251	408
252–261	377
262–271	301
272–281	335
282–291	320
292–301	293
302–311	250
312–321	238
322–331	206
332–341	209
342–351	208
352–361	162
362–371	176
372–381	127
382–391	158
392–401	128
402–411	104
412–421	94
422–431	99
432–441	83
442–451	108
452–461	73
462–471	77
472–481	69
482–491	84
492–501	62
502–511	54
512–521	57
522–531	51
532–541	51
542–551	32
552–561	38
562–571	28
572–581	43
582–591	33
592–601	41
602–611	32
612–621	28
622–631	25
632–641	27
642–651	17
652–661	20
662–671	17
672–681	15
682–691	14
692–701	21
702–711	13
712–721	12
722–731	19
732–741	14
742–751	12
752–761	10
762–771	10
772–781	11
782–791	10
792–801	11
802–811	8
812–821	8
822–831	7
832–841	11
842–851	10
852–861	5
862–871	9
872–881	4
882–891	6
892–901	3
902–911	6
912–921	3
922–931	2
932–941	2
942–951	2
952–961	3
962–971	3
972–981	3
982–990	5
991+	100

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Baobao Chang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Baobao Chang sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table

Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index	Scientists	This scientist
30–31	879
32–33	983
34–35	918
36–37	990	36
38–39	968
40–41	907
42–43	821
44–45	763
46–47	689
48–49	543
50–51	543
52–53	518
54–55	500
56–57	458
58–59	400
60–61	337
62–63	308
64–65	292
66–67	249
68–69	213
70–71	192
72–73	189
74–75	165
76–77	139
78–79	119
80–81	121
82–83	113
84–85	88
86–87	87
88–89	75
90–91	69
92–93	57
94–95	46
96–97	38
98–99	34
100–101	36
102–103	27
104–105	37
106–107	18
108–109	31
110–111	19
112–113	16
114–115	12
116–117	20
118–119	15
120–121	5
122–123	20
124–125	8
126–127	5
128–129	7
130	3
131+	98

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Best Publications

Gated Self-Matching Networks for Reading Comprehension and Question Answering

Wenhui Wang;Nan Yang;Furu Wei;Baobao Chang

734
Citations
Table-to-Text Generation by Structure-Aware Seq2seq Learning

Tianyu Liu;Kexiang Wang;Lei Sha;Baobao Chang

253
Citations
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction.

Unknown

252
Citations
A Survey on In-context Learning

Unknown

244
Citations
Double Graph Based Reasoning for Document-level Relation Extraction

Unknown

221
Citations
Max-Margin Tensor Neural Network for Chinese Word Segmentation

Wenzhe Pei;Tao Ge;Baobao Chang

198
Citations
Graph-based Dependency Parsing with Bidirectional LSTM

Unknown

170
Citations
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction

Unknown

157
Citations
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

Fuli Luo;Peng Li;Jie Zhou;Pengcheng Yang

151
Citations
Incorporating Glosses into Neural Word Sense Disambiguation

Unknown

134
Citations
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Ningyu Zhang;Mosha Chen;Zhen Bi;Xiaozhuan Liang

129
Citations
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Unknown

127
Citations
Encoding Temporal Information for Time-Aware Link Prediction

Tingsong Jiang;Tianyu Liu;Tao Ge;Lei Sha

125
Citations
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Unknown

123
Citations
Knowledge Neurons in Pretrained Transformers

Damai Dai;Li Dong;Yaru Hao;Zhifang Sui

121
Citations
Order-Planning Neural Text Generation From Structured Data

Lei Sha;Lili Mou;Tianyu Liu;Pascal Poupart

107
Citations
Discourse Parsing with Attention-based Hierarchical Neural Networks

Unknown

107
Citations
Towards Time-Aware Knowledge Graph Completion

Tingsong Jiang;Tianyu Liu;Tao Ge;Lei Sha

94
Citations
Order-Planning Neural Text Generation From Structured Data

Lei Sha;Lili Mou;Tianyu Liu;Pascal Poupart

81
Citations
Exploiting collaborative filtering techniques for automatic assessment of student free-text responses

Unknown

74
Citations